Pandas Profiling Report

Dataset statistics

Number of variables	69
Number of observations	3275
Missing cells	139907
Missing cells (%)	61.9%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	7.6 MiB
Average record size in memory	2.4 KiB

Variable types

Numeric	15
Categorical	54

Alerts

`IPP Classification` has constant value "PLS"	Constant
`Distance Destination (km) (remove)` has constant value "7.00313428"	Constant
`Incident Date Time` has a high cardinality: 1792 distinct values	High cardinality
`City` has a high cardinality: 529 distinct values	High cardinality
`County` has a high cardinality: 311 distinct values	High cardinality
`Subject Sub-Category` has a high cardinality: 99 distinct values	High cardinality
`Notify hours` has a high cardinality: 373 distinct values	High cardinality
`Search hours` has a high cardinality: 562 distinct values	High cardinality
`Total Time Lost` has a high cardinality: 623 distinct values	High cardinality
`TTL Hours` has a high cardinality: 838 distinct values	High cardinality
`IPP Coord.` has a high cardinality: 663 distinct values	High cardinality
`Temp/H` has a high cardinality: 135 distinct values	High cardinality
`Weather` has a high cardinality: 287 distinct values	High cardinality
`Subject Found feature` has a high cardinality: 59 distinct values	High cardinality
`Found Secondary (remove)` has a high cardinality: 84 distinct values	High cardinality
`Lost Strategy` has a high cardinality: 107 distinct values	High cardinality
`Find Coord` has a high cardinality: 434 distinct values	High cardinality
`Find Accuracy` has a high cardinality: 262 distinct values	High cardinality
`Comments` has a high cardinality: 870 distinct values	High cardinality
`Incident #` is highly correlated with `Incident Year` and 1 other fields	High correlation
`Incident Year` is highly correlated with `Incident #` and 2 other fields	High correlation
`Incident Day` is highly correlated with `Disperson Angle (remove)`	High correlation
`Age` is highly correlated with `Disperson Angle (remove)`	High correlation
`Weight (Kg)` is highly correlated with `Track Offset (m)` and 1 other fields	High correlation
`Temp L` is highly correlated with `Track Offset (m)` and 2 other fields	High correlation
`Distance IPP (km)` is highly correlated with `Distance IPP (miles) (remove)` and 1 other fields	High correlation
`Distance IPP (miles) (remove)` is highly correlated with `Distance IPP (km)` and 1 other fields	High correlation
`Track Offset (m)` is highly correlated with `Weight (Kg)` and 1 other fields	High correlation
`Disperson Angle (remove)` is highly correlated with `Incident #` and 6 other fields	High correlation
`Total Air Hours` is highly correlated with `Weight (Kg)`	High correlation
`Total Personnel` is highly correlated with `Total Man Hours` and 1 other fields	High correlation
`Total Man Hours` is highly correlated with `Total Personnel`	High correlation
`Total Cost` is highly correlated with `Incident Year` and 2 other fields	High correlation
`Incident #` is highly correlated with `Disperson Angle (remove)`	High correlation
`Incident Year` is highly correlated with `Disperson Angle (remove)`	High correlation
`Incident Day` is highly correlated with `Disperson Angle (remove)`	High correlation
`Age` is highly correlated with `Disperson Angle (remove)`	High correlation
`Weight (Kg)` is highly correlated with `Track Offset (m)` and 1 other fields	High correlation
`Temp L` is highly correlated with `Track Offset (m)` and 2 other fields	High correlation
`Distance IPP (km)` is highly correlated with `Distance IPP (miles) (remove)` and 1 other fields	High correlation
`Distance IPP (miles) (remove)` is highly correlated with `Distance IPP (km)` and 1 other fields	High correlation
`Track Offset (m)` is highly correlated with `Weight (Kg)` and 1 other fields	High correlation
`Disperson Angle (remove)` is highly correlated with `Incident #` and 6 other fields	High correlation
`Total Air Hours` is highly correlated with `Weight (Kg)`	High correlation
`Total Man Hours` is highly correlated with `Total Cost`	High correlation
`Total Cost` is highly correlated with `Temp L` and 1 other fields	High correlation
`Incident #` is highly correlated with `Disperson Angle (remove)`	High correlation
`Incident Year` is highly correlated with `Disperson Angle (remove)` and 1 other fields	High correlation
`Incident Day` is highly correlated with `Disperson Angle (remove)`	High correlation
`Age` is highly correlated with `Disperson Angle (remove)`	High correlation
`Weight (Kg)` is highly correlated with `Track Offset (m)` and 1 other fields	High correlation
`Temp L` is highly correlated with `Track Offset (m)` and 2 other fields	High correlation
`Distance IPP (km)` is highly correlated with `Distance IPP (miles) (remove)` and 1 other fields	High correlation
`Distance IPP (miles) (remove)` is highly correlated with `Distance IPP (km)` and 1 other fields	High correlation
`Track Offset (m)` is highly correlated with `Weight (Kg)` and 1 other fields	High correlation
`Disperson Angle (remove)` is highly correlated with `Incident #` and 6 other fields	High correlation
`Total Air Hours` is highly correlated with `Weight (Kg)`	High correlation
`Total Personnel` is highly correlated with `Total Man Hours` and 1 other fields	High correlation
`Total Man Hours` is highly correlated with `Total Personnel`	High correlation
`Total Cost` is highly correlated with `Incident Year` and 2 other fields	High correlation
`Incident #` is highly correlated with `Data Source` and 20 other fields	High correlation
`Data Source` is highly correlated with `Incident #` and 27 other fields	High correlation
`Country` is highly correlated with `Incident #` and 23 other fields	High correlation
`State/Province/Region` is highly correlated with `Incident #` and 28 other fields	High correlation
`Incident Type` is highly correlated with `Subject Sub-Category` and 3 other fields	High correlation
`Incident Year` is highly correlated with `Incident #` and 13 other fields	High correlation
`Incident Month` is highly correlated with `Time` and 4 other fields	High correlation
`Incident Day` is highly correlated with `Time` and 4 other fields	High correlation
`Time` is highly correlated with `Incident #` and 29 other fields	High correlation
`EcoRegion Domain` is highly correlated with `Data Source` and 8 other fields	High correlation
`Population Density` is highly correlated with `Data Source` and 13 other fields	High correlation
`Terrain` is highly correlated with `Data Source` and 11 other fields	High correlation
`Subject Category` is highly correlated with `State/Province/Region` and 2 other fields	High correlation
`Subject Sub-Category` is highly correlated with `Incident #` and 30 other fields	High correlation
`Subject Activity` is highly correlated with `Incident #` and 16 other fields	High correlation
`Scenario` is highly correlated with `Incident #` and 23 other fields	High correlation
`Group Type` is highly correlated with `Data Source` and 6 other fields	High correlation
`# Lost` is highly correlated with `Scenario` and 2 other fields	High correlation
`Age` is highly correlated with `Time` and 8 other fields	High correlation
`Sex` is highly correlated with `Time` and 3 other fields	High correlation
`Weight (Kg)` is highly correlated with `Incident #` and 14 other fields	High correlation
`Height (Cm)` is highly correlated with `Time` and 7 other fields	High correlation
`Physical Fitness` is highly correlated with `Time` and 11 other fields	High correlation
`Mental Fitness` is highly correlated with `Incident #` and 17 other fields	High correlation
`Experience` is highly correlated with `Data Source` and 16 other fields	High correlation
`Clothing` is highly correlated with `Country` and 8 other fields	High correlation
`Personality` is highly correlated with `Incident #` and 18 other fields	High correlation
`Subject Status` is highly correlated with `Data Source` and 11 other fields	High correlation
`IPP Type` is highly correlated with `Time` and 4 other fields	High correlation
`IPPAccuracy (remove)` is highly correlated with `Incident #` and 9 other fields	High correlation
`Temp L` is highly correlated with `Country` and 11 other fields	High correlation
`Wind (kph) (remove)` is highly correlated with `Incident #` and 24 other fields	High correlation
`Snow (remove)` is highly correlated with `Incident #` and 13 other fields	High correlation
`Rain (remove)` is highly correlated with `Incident #` and 11 other fields	High correlation
`Light (remove)` is highly correlated with `Incident Day` and 7 other fields	High correlation
`Investigative Find (remove)` is highly correlated with `Incident #` and 15 other fields	High correlation
`Inv Find Details (remove)` is highly correlated with `Data Source` and 18 other fields	High correlation
`Suspended (remove)` is highly correlated with `Incident #` and 17 other fields	High correlation
`Subject Found feature` is highly correlated with `Incident #` and 21 other fields	High correlation
`Found Secondary (remove)` is highly correlated with `Incident #` and 35 other fields	High correlation
`Mobility Responsiveness (remove)` is highly correlated with `Incident #` and 28 other fields	High correlation
`Distance IPP (km)` is highly correlated with `Weight (Kg)` and 4 other fields	High correlation
`Distance IPP (miles) (remove)` is highly correlated with `Subject Found feature` and 2 other fields	High correlation
`Track Offset (m)` is highly correlated with `Subject Sub-Category`	High correlation
`Mission Close (remove)` is highly correlated with `Suspended (remove)` and 4 other fields	High correlation
`Rescue Method` is highly correlated with `Incident #` and 19 other fields	High correlation
`Resources Used` is highly correlated with `Population Density` and 1 other fields	High correlation
`Total Air Hours` is highly correlated with `Data Source` and 13 other fields	High correlation
`Total Personnel` is highly correlated with `Found Secondary (remove)` and 3 other fields	High correlation
`Total Man Hours` is highly correlated with `Subject Status` and 7 other fields	High correlation
`Total Cost` is highly correlated with `Subject Status` and 2 other fields	High correlation
`State/Province/Region` has 823 (25.1%) missing values	Missing
`Incident Type` has 1274 (38.9%) missing values	Missing
`Incident Date Time` has 802 (24.5%) missing values	Missing
`Incident Year` has 802 (24.5%) missing values	Missing
`Incident Month` has 802 (24.5%) missing values	Missing
`Incident Day` has 802 (24.5%) missing values	Missing
`Time` has 3260 (99.5%) missing values	Missing
`City` has 1438 (43.9%) missing values	Missing
`County` has 477 (14.6%) missing values	Missing
`Population Density` has 2145 (65.5%) missing values	Missing
`Terrain` has 1662 (50.7%) missing values	Missing
`Subject Sub-Category` has 2640 (80.6%) missing values	Missing
`Subject Activity` has 2164 (66.1%) missing values	Missing
`Scenario` has 1685 (51.5%) missing values	Missing
`Group Type` has 621 (19.0%) missing values	Missing
`# Lost` has 418 (12.8%) missing values	Missing
`Age` has 809 (24.7%) missing values	Missing
`Sex` has 621 (19.0%) missing values	Missing
`Weight (Kg)` has 3204 (97.8%) missing values	Missing
`Height (Cm)` has 3194 (97.5%) missing values	Missing
`Physical Fitness` has 2742 (83.7%) missing values	Missing
`Mental Fitness` has 2159 (65.9%) missing values	Missing
`Experience` has 2944 (89.9%) missing values	Missing
`Clothing` has 2873 (87.7%) missing values	Missing
`Personality` has 3239 (98.9%) missing values	Missing
`Subject Status` has 122 (3.7%) missing values	Missing
`Notify hours` has 1117 (34.1%) missing values	Missing
`Search hours` has 633 (19.3%) missing values	Missing
`Total Time Lost` has 996 (30.4%) missing values	Missing
`IPP Type` has 3049 (93.1%) missing values	Missing
`IPP Classification` has 3260 (99.5%) missing values	Missing
`IPP Coord.` has 2575 (78.6%) missing values	Missing
`IPPAccuracy (remove)` has 3271 (99.9%) missing values	Missing
`Destination Coord. (remove)` has 3273 (99.9%) missing values	Missing
`Temp/H` has 2109 (64.4%) missing values	Missing
`Temp L` has 3127 (95.5%) missing values	Missing
`Wind (kph) (remove)` has 3063 (93.5%) missing values	Missing
`Weather` has 1710 (52.2%) missing values	Missing
`Snow (remove)` has 2955 (90.2%) missing values	Missing
`Rain (remove)` has 2825 (86.3%) missing values	Missing
`Light (remove)` has 3264 (99.7%) missing values	Missing
`Investigative Find (remove)` has 3111 (95.0%) missing values	Missing
`Inv Find Details (remove)` has 3265 (99.7%) missing values	Missing
`Suspended (remove)` has 3174 (96.9%) missing values	Missing
`Subject Found feature` has 1575 (48.1%) missing values	Missing
`Found Secondary (remove)` has 3063 (93.5%) missing values	Missing
`Mobility Responsiveness (remove)` has 3131 (95.6%) missing values	Missing
`Lost Strategy` has 2831 (86.4%) missing values	Missing
`Distance IPP (km)` has 883 (27.0%) missing values	Missing
`Distance Destination (km) (remove)` has 3274 (> 99.9%) missing values	Missing
`Distance IPP (miles) (remove)` has 1465 (44.7%) missing values	Missing
`Track Offset (m)` has 2101 (64.2%) missing values	Missing
`Find Coord` has 2829 (86.4%) missing values	Missing
`Find Accuracy` has 3007 (91.8%) missing values	Missing
`Disperson Angle (remove)` has 3273 (99.9%) missing values	Missing
`Mission Close (remove)` has 3115 (95.1%) missing values	Missing
`Rescue Method` has 3166 (96.7%) missing values	Missing
`Resources Used` has 3254 (99.4%) missing values	Missing
`Total Air Hours` has 2880 (87.9%) missing values	Missing
`Total Personnel` has 2540 (77.6%) missing values	Missing
`Total Man Hours` has 2271 (69.3%) missing values	Missing
`Total Cost` has 2428 (74.1%) missing values	Missing
`Comments` has 2321 (70.9%) missing values	Missing
`Total Personnel` is highly skewed (γ1 = 23.12213305)	Skewed
`Incident #` is uniformly distributed	Uniform
`Incident Date Time` is uniformly distributed	Uniform
`Time` is uniformly distributed	Uniform
`IPP Coord.` is uniformly distributed	Uniform
`Destination Coord. (remove)` is uniformly distributed	Uniform
`Find Coord` is uniformly distributed	Uniform
`Find Accuracy` is uniformly distributed	Uniform
`Disperson Angle (remove)` is uniformly distributed	Uniform
`Incident #` has unique values	Unique
`Distance IPP (km)` has 211 (6.4%) zeros	Zeros
`Distance IPP (miles) (remove)` has 173 (5.3%) zeros	Zeros
`Track Offset (m)` has 437 (13.3%) zeros	Zeros
`Total Air Hours` has 345 (10.5%) zeros	Zeros
`Total Cost` has 211 (6.4%) zeros	Zeros

Reproduction

Analysis started	2021-10-12 15:57:38.559342
Analysis finished	2021-10-12 15:59:21.755215
Duration	1 minute and 43.2 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

Incident #
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	3275
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1638.06229

Minimum	1
Maximum	3276
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	25.7 KiB

Quantile statistics

Minimum	1
5-th percentile	164.7
Q1	819.5
median	1638
Q3	2456.5
95-th percentile	3112.3
Maximum	3276
Range	3275
Interquartile range (IQR)	1637

Descriptive statistics

Standard deviation	945.6566024
Coefficient of variation (CV)	0.5773019794
Kurtosis	-1.199635284
Mean	1638.06229
Median Absolute Deviation (MAD)	819
Skewness	0.0003248565694
Sum	5364654
Variance	894266.4097
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	< 0.1%
2188	1	< 0.1%
2178	1	< 0.1%
2179	1	< 0.1%
2180	1	< 0.1%
2181	1	< 0.1%
2182	1	< 0.1%
2183	1	< 0.1%
2184	1	< 0.1%
2185	1	< 0.1%
Other values (3265)	3265	99.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
3276	1	< 0.1%
3275	1	< 0.1%
3274	1	< 0.1%
3273	1	< 0.1%
3272	1	< 0.1%
3271	1	< 0.1%
3270	1	< 0.1%
3269	1	< 0.1%
3268	1	< 0.1%
3267	1	< 0.1%

Data Source
Categorical

HIGH CORRELATION

Distinct	35
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	193.4 KiB

PLI	940
NZ	608
US	394
US-OR	292
US-VA	168
Other values (30)	873

Length

Max length	7
Median length	3
Mean length	3.431450382
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	PLI
2nd row	AU
3rd row	AU
4th row	AU
5th row	AU

Common Values

Value	Count	Frequency (%)
PLI	940	28.7%
NZ	608	18.6%
US	394	12.0%
US-OR	292	8.9%
US-VA	168	5.1%
UK	111	3.4%
UK-MREW	110	3.4%
CA-OPP	92	2.8%
AU	89	2.7%
US-PL	62	1.9%
Other values (25)	409	12.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
pli	940	28.7%
nz	608	18.6%
us	394	12.0%
us-or	292	8.9%
us-va	168	5.1%
uk	111	3.4%
uk-mrew	110	3.4%
ca-opp	92	2.8%
au	89	2.7%
us-pl	62	1.9%
Other values (24)	409	12.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Country
Categorical

HIGH CORRELATION

Distinct	7
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	188.8 KiB

US	2177
NZ	608
UK	221
CA	159
AU	89
Other values (2)	21

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	US
2nd row	AU
3rd row	AU
4th row	AU
5th row	AU

Common Values

Value	Count	Frequency (%)
US	2177	66.5%
NZ	608	18.6%
UK	221	6.7%
CA	159	4.9%
AU	89	2.7%
PL	11	0.3%
IE	10	0.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
us	2177	66.5%
nz	608	18.6%
uk	221	6.7%
ca	159	4.9%
au	89	2.7%
pl	11	0.3%
ie	10	0.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

State/Province/Region
Categorical

HIGH CORRELATION
MISSING

Distinct	50
Distinct (%)	2.0%
Missing	823
Missing (%)	25.1%
Memory size	172.1 KiB

VA	986
OR	301
Perkins, Roberts, Fenny	110
ON	98
MD	72
Other values (45)	885

Length

Max length	24
Median length	2
Mean length	2.998776509
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	0.3%

Sample

1st row	VA
2nd row	BC
3rd row	BC
4th row	BC
5th row	BC

Common Values

Value	Count	Frequency (%)
VA	986	30.1%
OR	301	9.2%
Perkins, Roberts, Fenny	110	3.4%
ON	98	3.0%
MD	72	2.2%
NC	70	2.1%
WA	65	2.0%
NY	62	1.9%
CA	60	1.8%
KY	57	1.7%
Other values (40)	571	17.4%
(Missing)	823	25.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
va	1013	37.9%
or	301	11.3%
perkins	110	4.1%
roberts	110	4.1%
fenny	110	4.1%
on	98	3.7%
md	72	2.7%
nc	70	2.6%
wa	65	2.4%
ny	62	2.3%
Other values (36)	661	24.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Incident Type
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	0.1%
Missing	1274
Missing (%)	38.9%
Memory size	163.1 KiB

Search	1984
Recovery	9
Rescue	8

Length

Max length	8
Median length	6
Mean length	6.008995502
Min length	6

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Recovery
2nd row	Search
3rd row	Search
4th row	Search
5th row	Search

Common Values

Value	Count	Frequency (%)
Search	1984	60.6%
Recovery	9	0.3%
Rescue	8	0.2%
(Missing)	1274	38.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
search	1984	99.2%
recovery	9	0.4%
rescue	8	0.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Incident Date Time
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	1792
Distinct (%)	72.5%
Missing	802
Missing (%)	24.5%
Memory size	184.4 KiB

7/5/1905	27
7/28/2004	5
11/11/2004	5
6/2/2006	5
7/4/1905	5
Other values (1787)	2426

Length

Max length	10
Median length	9
Mean length	8.921957137
Min length	8

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1277 ?
Unique (%)	51.6%

Sample

1st row	7/28/2004
2nd row	9/30/2000
3rd row	1/7/2000
4th row	11/15/2001
5th row	10/9/2000

Common Values

Value	Count	Frequency (%)
7/5/1905	27	0.8%
7/28/2004	5	0.2%
11/11/2004	5	0.2%
6/2/2006	5	0.2%
7/4/1905	5	0.2%
5/17/2005	5	0.2%
3/21/2005	5	0.2%
7/19/2004	5	0.2%
6/10/2004	5	0.2%
4/17/2004	5	0.2%
Other values (1782)	2401	73.3%
(Missing)	802	24.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
7/5/1905	27	1.1%
3/21/2005	5	0.2%
7/28/2004	5	0.2%
6/10/2004	5	0.2%
7/19/2004	5	0.2%
4/17/2004	5	0.2%
5/17/2005	5	0.2%
7/4/1905	5	0.2%
6/2/2006	5	0.2%
11/11/2004	5	0.2%
Other values (1782)	2401	97.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Incident Year
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	34
Distinct (%)	1.4%
Missing	802
Missing (%)	24.5%
Infinite	0
Infinite (%)	0.0%
Mean	2004.363122

Minimum	1904
Maximum	2014
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	25.7 KiB

Quantile statistics

Minimum	1904
5-th percentile	1998
Q1	2003
median	2006
Q3	2010
95-th percentile	2012
Maximum	2014
Range	110
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	12.79610322
Coefficient of variation (CV)	0.006384124253
Kurtosis	48.19273599
Mean	2004.363122
Median Absolute Deviation (MAD)	3
Skewness	-6.605491085
Sum	4956790
Variance	163.7402576
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
2004	295	9.0%
2005	234	7.1%
2011	221	6.7%
2010	192	5.9%
2009	185	5.6%
2012	162	4.9%
2006	157	4.8%
2003	153	4.7%
2008	142	4.3%
2007	141	4.3%
Other values (24)	591	18.0%
(Missing)	802	24.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1904	2	0.1%
1905	32	1.0%
1931	2	0.1%
1983	1	< 0.1%
1984	1	< 0.1%
1985	7	0.2%
1986	5	0.2%
1988	1	< 0.1%
1989	2	0.1%
1990	3	0.1%

Value	Count	Frequency (%)
2014	2	0.1%
2013	61	1.9%
2012	162	4.9%
2011	221	6.7%
2010	192	5.9%
2009	185	5.6%
2008	142	4.3%
2007	141	4.3%
2006	157	4.8%
2005	234	7.1%

Incident Month
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	12
Distinct (%)	0.5%
Missing	802
Missing (%)	24.5%
Infinite	0
Infinite (%)	0.0%
Mean	6.669227659

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	25.7 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	7
Q3	9
95-th percentile	12
Maximum	12
Range	11
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.23996011
Coefficient of variation (CV)	0.4858073942
Kurtosis	-1.011225205
Mean	6.669227659
Median Absolute Deviation (MAD)	3
Skewness	-0.06226190214
Sum	16493
Variance	10.49734151
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
7	288	8.8%
5	249	7.6%
6	233	7.1%
8	224	6.8%
10	218	6.7%
9	213	6.5%
4	197	6.0%
12	196	6.0%
1	168	5.1%
11	167	5.1%
Other values (2)	320	9.8%
(Missing)	802	24.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	168	5.1%
2	160	4.9%
3	160	4.9%
4	197	6.0%
5	249	7.6%
6	233	7.1%
7	288	8.8%
8	224	6.8%
9	213	6.5%
10	218	6.7%

Value	Count	Frequency (%)
12	196	6.0%
11	167	5.1%
10	218	6.7%
9	213	6.5%
8	224	6.8%
7	288	8.8%
6	233	7.1%
5	249	7.6%
4	197	6.0%
3	160	4.9%

Incident Day
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	31
Distinct (%)	1.3%
Missing	802
Missing (%)	24.5%
Infinite	0
Infinite (%)	0.0%
Mean	15.12494945

Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	25.7 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	8
median	15
Q3	22
95-th percentile	29
Maximum	31
Range	30
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	8.718038961
Coefficient of variation (CV)	0.5764011964
Kurtosis	-1.148614526
Mean	15.12494945
Median Absolute Deviation (MAD)	7
Skewness	0.09068252606
Sum	37404
Variance	76.00420332
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
5	99	3.0%
12	97	3.0%
11	95	2.9%
4	92	2.8%
3	92	2.8%
1	92	2.8%
14	91	2.8%
9	89	2.7%
16	89	2.7%
6	87	2.7%
Other values (21)	1550	47.3%
(Missing)	802	24.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	92	2.8%
2	79	2.4%
3	92	2.8%
4	92	2.8%
5	99	3.0%
6	87	2.7%
7	65	2.0%
8	79	2.4%
9	89	2.7%
10	79	2.4%

Value	Count	Frequency (%)
31	55	1.7%
30	61	1.9%
29	46	1.4%
28	80	2.4%
27	67	2.0%
26	86	2.6%
25	74	2.3%
24	68	2.1%
23	77	2.4%
22	74	2.3%

Time
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	14
Distinct (%)	93.3%
Missing	3260
Missing (%)	99.5%
Memory size	102.9 KiB

8:00	2
10-Aug	1
14	1
18:30	1
4:15	1
Other values (9)	9

Length

Max length	6
Median length	5
Mean length	4.6
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13 ?
Unique (%)	86.7%

Sample

1st row	10-Aug
2nd row	14
3rd row	18:30
4th row	4:15
5th row	17:20

Common Values

Value	Count	Frequency (%)
8:00	2	0.1%
10-Aug	1	< 0.1%
14	1	< 0.1%
18:30	1	< 0.1%
4:15	1	< 0.1%
17:20	1	< 0.1%
18:00	1	< 0.1%
18:45	1	< 0.1%
16:00	1	< 0.1%
8:30	1	< 0.1%
Other values (4)	4	0.1%
(Missing)	3260	99.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
8:00	2	13.3%
10-aug	1	6.7%
14	1	6.7%
18:30	1	6.7%
4:15	1	6.7%
17:20	1	6.7%
18:00	1	6.7%
18:45	1	6.7%
16:00	1	6.7%
8:30	1	6.7%
Other values (4)	4	26.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

City
Categorical

HIGH CARDINALITY
MISSING

Distinct	529
Distinct (%)	28.8%
Missing	1438
Missing (%)	43.9%
Memory size	164.3 KiB

Norfolk	182
Chesapeake	162
Blacksburg	104
MRC	90
Lynchburg	79
Other values (524)	1220

Length

Max length	38
Median length	10
Mean length	9.451823625
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	341 ?
Unique (%)	18.6%

Sample

1st row	Chesapeake
2nd row	Port Broughton
3rd row	Jondaryan
4th row	Ballarat
5th row	Ballarat

Common Values

Value	Count	Frequency (%)
Norfolk	182	5.6%
Chesapeake	162	4.9%
Blacksburg	104	3.2%
MRC	90	2.7%
Lynchburg	79	2.4%
Portsmouth	51	1.6%
Virginia Beach	47	1.4%
Stokes	46	1.4%
Wellington	24	0.7%
Spotsylvania	20	0.6%
Other values (519)	1032	31.5%
(Missing)	1438	43.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
norfolk	203	8.5%
chesapeake	182	7.6%
blacksburg	104	4.4%
county	96	4.0%
mrc	90	3.8%
lynchburg	79	3.3%
beach	65	2.7%
va	58	2.4%
portsmouth	51	2.1%
virginia	50	2.1%
Other values (544)	1406	59.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

County
Categorical

HIGH CARDINALITY
MISSING

Distinct	311
Distinct (%)	11.1%
Missing	477
Missing (%)	14.6%
Memory size	184.9 KiB

VA	842
Auckland	160
Wellington	78
Rotorua	68
NC	63
Other values (306)	1587

Length

Max length	23
Median length	2
Mean length	5.182273052
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	130 ?
Unique (%)	4.6%

Sample

1st row	VA
2nd row	SA
3rd row	QLD
4th row	VIC
5th row	VIC

Common Values

Value	Count	Frequency (%)
VA	842	25.7%
Auckland	160	4.9%
Wellington	78	2.4%
Rotorua	68	2.1%
NC	63	1.9%
NJ	55	1.7%
FL	53	1.6%
Clackamas	41	1.3%
Christchurch	40	1.2%
AL	37	1.1%
Other values (301)	1361	41.6%
(Missing)	477	14.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
va	847	28.3%
auckland	169	5.6%
wellington	78	2.6%
nc	71	2.4%
rotorua	68	2.3%
nj	55	1.8%
fl	54	1.8%
clackamas	41	1.4%
christchurch	40	1.3%
al	39	1.3%
Other values (291)	1534	51.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

EcoRegion Domain
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	210.2 KiB

Temperate	3100
Dry	156
Polar	16
Tropical	2

Length

Max length	9
Median length	9
Mean length	8.693952352
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Temperate
2nd row	Dry
3rd row	Temperate
4th row	Temperate
5th row	Temperate

Common Values

Value	Count	Frequency (%)
Temperate	3100	94.7%
Dry	156	4.8%
Polar	16	0.5%
Tropical	2	0.1%
(Missing)	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
temperate	3100	94.7%
dry	156	4.8%
polar	16	0.5%
tropical	2	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Population Density
Categorical

HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	0.4%
Missing	2145
Missing (%)	65.5%
Memory size	136.5 KiB

Urban	511
Rural	367
Suburban	144
Wilderness	102
Water	6

Length

Max length	10
Median length	5
Mean length	5.833628319
Min length	5

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Rural
2nd row	Urban
3rd row	Urban
4th row	Urban
5th row	Urban

Common Values

Value	Count	Frequency (%)
Urban	511	15.6%
Rural	367	11.2%
Suburban	144	4.4%
Wilderness	102	3.1%
Water	6	0.2%
(Missing)	2145	65.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
urban	511	45.2%
rural	367	32.5%
suburban	144	12.7%
wilderness	102	9.0%
water	6	0.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Terrain
Categorical

HIGH CORRELATION
MISSING

Distinct	6
Distinct (%)	0.4%
Missing	1662
Missing (%)	50.7%
Memory size	151.2 KiB

Flat	850
Mountainous	388
Hilly	355
Water	17
hilly	2

Length

Max length	11
Median length	4
Mean length	5.919404836
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	Flat
2nd row	Flat
3rd row	Flat
4th row	Flat
5th row	Flat

Common Values

Value	Count	Frequency (%)
Flat	850	26.0%
Mountainous	388	11.8%
Hilly	355	10.8%
Water	17	0.5%
hilly	2	0.1%
Hilly,Flat	1	< 0.1%
(Missing)	1662	50.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
flat	850	52.7%
mountainous	388	24.1%
hilly	357	22.1%
water	17	1.1%
hilly,flat	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Subject Category
Categorical

HIGH CORRELATION

Distinct	10
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	208.2 KiB

Dementia	3256
Demential	7
Dementia, Intellectual Disability	3
Dementia/Huntingtons	3
Demenita	1
Other values (5)	5

Length

Max length	33
Median length	8
Mean length	8.052824427
Min length	8

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	0.2%

Sample

1st row	Demenita
2nd row	Dementia
3rd row	Dementia
4th row	Dementia
5th row	Dementia

Common Values

Value	Count	Frequency (%)
Dementia	3256	99.4%
Demential	7	0.2%
Dementia, Intellectual Disability	3	0.1%
Dementia/Huntingtons	3	0.1%
Demenita	1	< 0.1%
Dementia AD	1	< 0.1%
Dementia Mental Illness	1	< 0.1%
Dementia,Hunter	1	< 0.1%
Dementia,Mental Illness	1	< 0.1%
Dementia,Mountain Biker	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
dementia	3261	99.2%
demential	7	0.2%
intellectual	3	0.1%
disability	3	0.1%
dementia/huntingtons	3	0.1%
illness	2	0.1%
demenita	1	< 0.1%
ad	1	< 0.1%
mental	1	< 0.1%
dementia,hunter	1	< 0.1%
Other values (3)	3	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Subject Sub-Category
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	99
Distinct (%)	15.6%
Missing	2640
Missing (%)	80.6%
Memory size	125.6 KiB

Alzheimer's	268
Dementia	65
Alzheimers	55
Dementia (General)	54
walkaway	37
Other values (94)	156

Length

Max length	93
Median length	11
Mean length	12.3511811
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	75 ?
Unique (%)	11.8%

Sample

1st row	Parkinsons
2nd row	Suffers from psychosis
3rd row	Dementia
4th row	Dementia
5th row	Dementia

Common Values

Value	Count	Frequency (%)
Alzheimer's	268	8.2%
Dementia	65	2.0%
Alzheimers	55	1.7%
Dementia (General)	54	1.6%
walkaway	37	1.1%
dementia	20	0.6%
PD	14	0.4%
Missing Alzhiemers	4	0.1%
Memory Loss	4	0.1%
Parkinson's	4	0.1%
Other values (89)	110	3.4%
(Missing)	2640	80.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
alzheimer's	272	30.4%
dementia	157	17.5%
alzheimers	65	7.3%
general	54	6.0%
missing	51	5.7%
walkaway	40	4.5%
pd	14	1.6%
elderly	12	1.3%
patient	9	1.0%
	8	0.9%
Other values (123)	214	23.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Subject Activity
Categorical

HIGH CORRELATION
MISSING

Distinct	13
Distinct (%)	1.2%
Missing	2164
Missing (%)	66.1%
Memory size	138.3 KiB

Walkaway	1084
Hiking	8
Despondent	6
Driving	2
Hunting	2
Other values (8)	9

Length

Max length	14
Median length	8
Mean length	8.00450045
Min length	6

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	0.6%

Sample

1st row	Canoeing
2nd row	Driving
3rd row	Walkaway
4th row	Walkaway
5th row	Walkaway

Common Values

Value	Count	Frequency (%)
Walkaway	1084	33.1%
Hiking	8	0.2%
Despondent	6	0.2%
Driving	2	0.1%
Hunting	2	0.1%
Elopement	2	0.1%
Canoeing	1	< 0.1%
Travelling	1	< 0.1%
Golfing	1	< 0.1%
Rock Hunting	1	< 0.1%
Other values (3)	3	0.1%
(Missing)	2164	66.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
walkaway	1084	97.3%
hiking	8	0.7%
despondent	6	0.5%
hunting	3	0.3%
driving	2	0.2%
elopement	2	0.2%
canoeing	1	0.1%
travelling	1	0.1%
golfing	1	0.1%
rock	1	0.1%
Other values (5)	5	0.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Scenario
Categorical

HIGH CORRELATION
MISSING

Distinct	13
Distinct (%)	0.8%
Missing	1685
Missing (%)	51.5%
Memory size	149.1 KiB

Lost	1093
Missing	393
Medical	33
Overdue	30
Investigative	23
Other values (8)	18

Length

Max length	13
Median length	4
Mean length	5.036477987
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	0.2%

Sample

1st row	Trauma
2nd row	Lost
3rd row	Lost
4th row	Lost
5th row	Lost

Common Values

Value	Count	Frequency (%)
Lost	1093	33.4%
Missing	393	12.0%
Medical	33	1.0%
Overdue	30	0.9%
Investigative	23	0.7%
Evading	5	0.2%
Trauma	3	0.1%
Drowning	3	0.1%
Investigation	2	0.1%
Fatality	2	0.1%
Other values (3)	3	0.1%
(Missing)	1685	51.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
lost	1093	68.7%
missing	393	24.7%
medical	33	2.1%
overdue	30	1.9%
investigative	23	1.4%
evading	5	0.3%
trauma	3	0.2%
drowning	3	0.2%
investigation	2	0.1%
fatality	2	0.1%
Other values (3)	3	0.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Group Type
Categorical

HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	0.2%
Missing	621
Missing (%)	19.0%
Memory size	169.9 KiB

M	1813
F	810
m	17
f	13
Transgender	1

Length

Max length	11
Median length	1
Mean length	1.003767898
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	M
2nd row	M
3rd row	M
4th row	M
5th row	M

Common Values

Value	Count	Frequency (%)
M	1813	55.4%
F	810	24.7%
m	17	0.5%
f	13	0.4%
Transgender	1	< 0.1%
(Missing)	621	19.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
m	1830	69.0%
f	823	31.0%
transgender	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

# Lost
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	0.1%
Missing	418
Missing (%)	12.8%
Memory size	183.9 KiB

1.0	2848
2.0	7
0.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	2848	87.0%
2.0	7	0.2%
0.0	2	0.1%
(Missing)	418	12.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	2848	99.7%
2.0	7	0.2%
0.0	2	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Age
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	67
Distinct (%)	2.7%
Missing	809
Missing (%)	24.7%
Infinite	0
Infinite (%)	0.0%
Mean	75.6674777

Minimum	16
Maximum	98
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	25.7 KiB

Quantile statistics

Minimum	16
5-th percentile	56.25
Q1	71
median	78
Q3	82
95-th percentile	89
Maximum	98
Range	82
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	10.23487519
Coefficient of variation (CV)	0.1352612179
Kurtosis	3.9808863
Mean	75.6674777
Median Absolute Deviation (MAD)	5
Skewness	-1.395891419
Sum	186596
Variance	104.7526701
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
80	189	5.8%
82	188	5.7%
78	125	3.8%
75	122	3.7%
79	118	3.6%
77	109	3.3%
74	103	3.1%
81	93	2.8%
76	83	2.5%
84	82	2.5%
Other values (57)	1254	38.3%
(Missing)	809	24.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
16	2	0.1%
17	2	0.1%
18	2	0.1%
20	1	< 0.1%
22	1	< 0.1%
30	2	0.1%
34	2	0.1%
35	4	0.1%
39	1	< 0.1%
40	2	0.1%

Value	Count	Frequency (%)
98	1	< 0.1%
97	1	< 0.1%
96	1	< 0.1%
95	4	0.1%
94	6	0.2%
93	33	1.0%
92	12	0.4%
91	18	0.5%
90	39	1.2%
89	30	0.9%

Sex
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	0.1%
Missing	621
Missing (%)	19.0%
Memory size	169.9 KiB

M	1832
F	821
Transgender	1

Length

Max length	11
Median length	1
Mean length	1.003767898
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	M
2nd row	M
3rd row	M
4th row	M
5th row	M

Common Values

Value	Count	Frequency (%)
M	1832	55.9%
F	821	25.1%
Transgender	1	< 0.1%
(Missing)	621	19.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
m	1832	69.0%
f	821	30.9%
transgender	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Weight (Kg)
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	37
Distinct (%)	52.1%
Missing	3204
Missing (%)	97.8%
Infinite	0
Infinite (%)	0.0%
Mean	67.01984635

Minimum	0
Maximum	140
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	25.7 KiB

Quantile statistics

Minimum	0
5-th percentile	44.31818182
Q1	57.95454546
median	65
Q3	76.13636364
95-th percentile	90.90909091
Maximum	140
Range	140
Interquartile range (IQR)	18.18181818

Descriptive statistics

Standard deviation	18.35182488
Coefficient of variation (CV)	0.2738267227
Kurtosis	4.715238556
Mean	67.01984635
Median Absolute Deviation (MAD)	10
Skewness	0.4086419424
Sum	4758.409091
Variance	336.7894765
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=37)

Value	Count	Frequency (%)
70	9	0.3%
60	7	0.2%
50	6	0.2%
63.63636364	4	0.1%
55	3	0.1%
90.90909091	3	0.1%
77.27272727	2	0.1%
79.54545455	2	0.1%
61.36363636	2	0.1%
72.72727273	2	0.1%
Other values (27)	31	0.9%
(Missing)	3204	97.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
40	1	< 0.1%
40.45454545	1	< 0.1%
40.90909091	1	< 0.1%
47.72727273	1	< 0.1%
48	1	< 0.1%
50	6	0.2%
52	1	< 0.1%
52.27272727	1	< 0.1%
55	3	0.1%

Value	Count	Frequency (%)
140	1	< 0.1%
109.0909091	1	< 0.1%
100	1	< 0.1%
90.90909091	3	0.1%
90	2	0.1%
84.09090909	1	< 0.1%
82	2	0.1%
80	2	0.1%
79.54545455	2	0.1%
78	1	< 0.1%

Height (Cm)
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	34
Distinct (%)	42.0%
Missing	3194
Missing (%)	97.5%
Infinite	0
Infinite (%)	0.0%
Mean	169.5032099

Minimum	144.78
Maximum	200
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	25.7 KiB

Quantile statistics

Minimum	144.78
5-th percentile	152.4
Q1	165
median	170
Q3	175.26
95-th percentile	182.88
Maximum	200
Range	55.22
Interquartile range (IQR)	10.26

Descriptive statistics

Standard deviation	10.00044572
Coefficient of variation (CV)	0.05899856248
Kurtosis	0.7760560372
Mean	169.5032099
Median Absolute Deviation (MAD)	5.26
Skewness	-0.1006793404
Sum	13729.76
Variance	100.0089146
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
170	9	0.3%
165	6	0.2%
177.8	6	0.2%
175	5	0.2%
160	5	0.2%
168	4	0.1%
182.88	4	0.1%
170.18	4	0.1%
167.64	3	0.1%
178	3	0.1%
Other values (24)	32	1.0%
(Missing)	3194	97.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
144.78	1	< 0.1%
145	2	0.1%
150	1	< 0.1%
152.4	1	< 0.1%
157	2	0.1%
157.48	2	0.1%
158	1	< 0.1%
160	5	0.2%
160.02	2	0.1%
163	2	0.1%

Value	Count	Frequency (%)
200	1	< 0.1%
188	1	< 0.1%
187.96	1	< 0.1%
185.42	1	< 0.1%
182.88	4	0.1%
182	1	< 0.1%
180.34	1	< 0.1%
180	1	< 0.1%
178	3	0.1%
177.8	6	0.2%

Physical Fitness
Categorical

HIGH CORRELATION
MISSING

Distinct	7
Distinct (%)	1.3%
Missing	2742
Missing (%)	83.7%
Memory size	117.6 KiB

Fair	204
Poor	160
Good	151
Excellent	9
Unk	7
Other values (2)	2

Length

Max length	9
Median length	4
Mean length	4.069418386
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.4%

Sample

1st row	Poor
2nd row	Fair
3rd row	Poor
4th row	Poor
5th row	Poor

Common Values

Value	Count	Frequency (%)
Fair	204	6.2%
Poor	160	4.9%
Good	151	4.6%
Excellent	9	0.3%
Unk	7	0.2%
Mild	1	< 0.1%
Mod	1	< 0.1%
(Missing)	2742	83.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
fair	204	38.3%
poor	160	30.0%
good	151	28.3%
excellent	9	1.7%
unk	7	1.3%
mild	1	0.2%
mod	1	0.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Mental Fitness
Categorical

HIGH CORRELATION
MISSING

Distinct	6
Distinct (%)	0.5%
Missing	2159
Missing (%)	65.9%
Memory size	137.6 KiB

Moderate	749
Severe	304
Mild	58
Normal	3
Fair	1

Length

Max length	8
Median length	8
Mean length	7.237455197
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.2%

Sample

1st row	Moderate
2nd row	Moderate
3rd row	Mild
4th row	Moderate
5th row	Moderate

Common Values

Value	Count	Frequency (%)
Moderate	749	22.9%
Severe	304	9.3%
Mild	58	1.8%
Normal	3	0.1%
Fair	1	< 0.1%
Unknown	1	< 0.1%
(Missing)	2159	65.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
moderate	749	67.1%
severe	304	27.2%
mild	58	5.2%
normal	3	0.3%
fair	1	0.1%
unknown	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Experience
Categorical

HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	1.5%
Missing	2944
Missing (%)	89.9%
Memory size	111.9 KiB

Fair	155
Poor	95
Good	67
Excellent	11
Unknown	3

Length

Max length	9
Median length	4
Mean length	4.193353474
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Poor
2nd row	Good
3rd row	Fair
4th row	Poor
5th row	Poor

Common Values

Value	Count	Frequency (%)
Fair	155	4.7%
Poor	95	2.9%
Good	67	2.0%
Excellent	11	0.3%
Unknown	3	0.1%
(Missing)	2944	89.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
fair	155	46.8%
poor	95	28.7%
good	67	20.2%
excellent	11	3.3%
unknown	3	0.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Clothing
Categorical

HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	1.0%
Missing	2873
Missing (%)	87.7%
Memory size	113.9 KiB

Fair	170
Good	169
Poor	55
Excellent	8

Length

Max length	9
Median length	4
Mean length	4.099502488
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Fair
2nd row	Fair
3rd row	Fair
4th row	Fair
5th row	Fair

Common Values

Value	Count	Frequency (%)
Fair	170	5.2%
Good	169	5.2%
Poor	55	1.7%
Excellent	8	0.2%
(Missing)	2873	87.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
fair	170	42.3%
good	169	42.0%
poor	55	13.7%
excellent	8	2.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Personality
Categorical

HIGH CORRELATION
MISSING

Distinct	10
Distinct (%)	27.8%
Missing	3239
Missing (%)	98.9%
Memory size	103.7 KiB

Withdrawn	13
Unsure	10
Confident	3
Dementia	3
dementia	2
Other values (5)	5

Length

Max length	26
Median length	9
Mean length	9.138888889
Min length	6

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	13.9%

Sample

1st row	Withdrawn
2nd row	Withdrawn
3rd row	Withdrawn
4th row	Unsure
5th row	Unsure

Common Values

Value	Count	Frequency (%)
Withdrawn	13	0.4%
Unsure	10	0.3%
Confident	3	0.1%
Dementia	3	0.1%
dementia	2	0.1%
Outgoing	1	< 0.1%
Dementia-friendly outgoing	1	< 0.1%
Friendly	1	< 0.1%
Responsive/Energetic	1	< 0.1%
suspicious of strangers	1	< 0.1%
(Missing)	3239	98.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
withdrawn	13	33.3%
unsure	10	25.6%
dementia	5	12.8%
confident	3	7.7%
outgoing	2	5.1%
dementia-friendly	1	2.6%
friendly	1	2.6%
responsive/energetic	1	2.6%
suspicious	1	2.6%
of	1	2.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Subject Status
Categorical

HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	0.3%
Missing	122
Missing (%)	3.7%
Memory size	193.1 KiB

Well	2428
Injured	428
DOA	153
Alive	105
No Trace	26
Other values (4)	13

Length

Max length	19
Median length	4
Mean length	4.445924516
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	0.1%

Sample

1st row	Well
2nd row	DOA
3rd row	Injured
4th row	Well
5th row	Injured

Common Values

Value	Count	Frequency (%)
Well	2428	74.1%
Injured	428	13.1%
DOA	153	4.7%
Alive	105	3.2%
No Trace	26	0.8%
Injuired	10	0.3%
DOA,Injured	1	< 0.1%
Injured/unconscious	1	< 0.1%
No trace	1	< 0.1%
(Missing)	122	3.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
well	2428	76.4%
injured	428	13.5%
doa	153	4.8%
alive	105	3.3%
no	27	0.8%
trace	27	0.8%
injuired	10	0.3%
doa,injured	1	< 0.1%
injured/unconscious	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Notify hours
Categorical

HIGH CARDINALITY
MISSING

Distinct	373
Distinct (%)	17.3%
Missing	1117
Missing (%)	34.1%
Memory size	176.4 KiB

0.020833333	1147
0	79
0.041666667	30
0.083333333	29
0.166667	26
Other values (368)	847

Length

Max length	11
Median length	11
Mean length	10.0699722
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	222 ?
Unique (%)	10.3%

Sample

1st row	0.020833333
2nd row	0
3rd row	0.019444444
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0.020833333	1147	35.0%
0	79	2.4%
0.041666667	30	0.9%
0.083333333	29	0.9%
0.166667	26	0.8%
0.0625	22	0.7%
0.125	18	0.5%
0.104166667	18	0.5%
0.03125	16	0.5%
0.1875	14	0.4%
Other values (363)	759	23.2%
(Missing)	1117	34.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
0.020833333	1147	53.2%
0	79	3.7%
0.041666667	30	1.4%
0.083333333	29	1.3%
0.166667	26	1.2%
0.0625	22	1.0%
0.125	18	0.8%
0.104166667	18	0.8%
0.03125	16	0.7%
0.1875	14	0.6%
Other values (363)	759	35.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Search hours
Categorical

HIGH CARDINALITY
MISSING

Distinct	562
Distinct (%)	21.3%
Missing	633
Missing (%)	19.3%
Memory size	192.8 KiB

0.000694444	155
0.003472222	84
0.010416667	74
0.006944444	70
0.013888889	55
Other values (557)	2204

Length

Max length	11
Median length	11
Mean length	9.997350492
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	302 ?
Unique (%)	11.4%

Sample

1st row	0.014583333
2nd row	0.25
3rd row	0.35
4th row	0.041666667
5th row	0.108333333

Common Values

Value	Count	Frequency (%)
0.000694444	155	4.7%
0.003472222	84	2.6%
0.010416667	74	2.3%
0.006944444	70	2.1%
0.013888889	55	1.7%
0.041666667	55	1.7%
0.020833333	55	1.7%
0.002777778	54	1.6%
0.001388889	47	1.4%
0.004861111	43	1.3%
Other values (552)	1950	59.5%
(Missing)	633	19.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
0.000694444	155	5.9%
0.003472222	84	3.2%
0.010416667	74	2.8%
0.006944444	70	2.6%
0.013888889	55	2.1%
0.041666667	55	2.1%
0.020833333	55	2.1%
0.002777778	54	2.0%
0.001388889	47	1.8%
0.004861111	43	1.6%
Other values (553)	1951	73.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Total Time Lost
Categorical

HIGH CARDINALITY
MISSING

Distinct	623
Distinct (%)	27.3%
Missing	996
Missing (%)	30.4%
Memory size	180.5 KiB

0.021527778	101
0.024305556	69
0.027777778	65
0.03125	56
0.041666667	50
Other values (618)	1938

Length

Max length	11
Median length	11
Mean length	10.04738921
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	399 ?
Unique (%)	17.5%

Sample

1st row	0.035416667
2nd row	0.270833333
3rd row	0.263888875
4th row	0.861805417
5th row	0.42361125

Common Values

Value	Count	Frequency (%)
0.021527778	101	3.1%
0.024305556	69	2.1%
0.027777778	65	2.0%
0.03125	56	1.7%
0.041666667	50	1.5%
0.034722222	46	1.4%
0.023611111	42	1.3%
0.022222222	38	1.2%
0.025694444	33	1.0%
0.022916667	33	1.0%
Other values (613)	1746	53.3%
(Missing)	996	30.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
0.021527778	101	4.4%
0.024305556	69	3.0%
0.027777778	65	2.9%
0.03125	56	2.5%
0.041666667	50	2.2%
0.034722222	46	2.0%
0.023611111	42	1.8%
0.022222222	38	1.7%
0.025694444	33	1.4%
0.022916667	33	1.4%
Other values (614)	1747	76.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

TTL Hours
Categorical

HIGH CARDINALITY

Distinct	838
Distinct (%)	25.6%
Missing	0
Missing (%)	0.0%
Memory size	210.9 KiB

0	388
0.021527777	99
0.024305555	67
0.027777777	61
0.03125	60
Other values (833)	2600

Length

Max length	11
Median length	11
Mean length	8.89129771
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	528 ?
Unique (%)	16.1%

Sample

1st row	0.035416666
2nd row	0
3rd row	0.270833333
4th row	0.263888875
5th row	0.861805417

Common Values

Value	Count	Frequency (%)
0	388	11.8%
0.021527777	99	3.0%
0.024305555	67	2.0%
0.027777777	61	1.9%
0.03125	60	1.8%
0.000694444	53	1.6%
0.034722222	45	1.4%
0.023611111	43	1.3%
0.022222222	38	1.2%
0.083333333	34	1.0%
Other values (828)	2387	72.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
0	388	11.8%
0.021527777	99	3.0%
0.024305555	67	2.0%
0.027777777	61	1.9%
0.03125	60	1.8%
0.000694444	53	1.6%
0.034722222	45	1.4%
0.023611111	43	1.3%
0.022222222	38	1.2%
0.083333333	34	1.0%
Other values (828)	2387	72.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

IPP Type
Categorical

HIGH CORRELATION
MISSING

Distinct	8
Distinct (%)	3.5%
Missing	3049
Missing (%)	93.1%
Memory size	109.7 KiB

RESIDENCE	162
ROAD	33
BUILDING	15
FIELD	5
WATER	4
Other values (3)	7

Length

Max length	9
Median length	9
Mean length	7.946902655
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	WATER
2nd row	BUILDING
3rd row	RESIDENCE
4th row	RESIDENCE
5th row	RESIDENCE

Common Values

Value	Count	Frequency (%)
RESIDENCE	162	4.9%
ROAD	33	1.0%
BUILDING	15	0.5%
FIELD	5	0.2%
WATER	4	0.1%
VEHICLE	3	0.1%
WOODS	2	0.1%
TRAIL	2	0.1%
(Missing)	3049	93.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
residence	162	71.7%
road	33	14.6%
building	15	6.6%
field	5	2.2%
water	4	1.8%
vehicle	3	1.3%
woods	2	0.9%
trail	2	0.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

IPP Classification
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	6.7%
Missing	3260
Missing (%)	99.5%
Memory size	102.9 KiB

PLS	15

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	PLS
2nd row	PLS
3rd row	PLS
4th row	PLS
5th row	PLS

Common Values

Value	Count	Frequency (%)
PLS	15	0.5%
(Missing)	3260	99.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
pls	15	100.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

IPP Coord.
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	663
Distinct (%)	94.7%
Missing	2575
Missing (%)	78.6%
Memory size	131.4 KiB

1772531, 5895989	4
45.499663, -122.792018	3
1884834, 5774036	3
1573115, 5183010	3
1885500, 5774550	3
Other values (658)	684

Length

Max length	33
Median length	16
Mean length	17.25
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	635 ?
Unique (%)	90.7%

Sample

1st row	VicRoads 254 D11
2nd row	Map 16 F3
3rd row	8125 04370 59757
4th row	205 H10
5th row	GR871211

Common Values

Value	Count	Frequency (%)
1772531, 5895989	4	0.1%
45.499663, -122.792018	3	0.1%
1884834, 5774036	3	0.1%
1573115, 5183010	3	0.1%
1885500, 5774550	3	0.1%
2554471, 5960271	3	0.1%
1881895, 5772646	3	0.1%
1750370, 5424079	3	0.1%
1765310, 5915279	2	0.1%
1719869, 6045941	2	0.1%
Other values (653)	671	20.5%
(Missing)	2575	78.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1772531	4	0.3%
48	4	0.3%
5895989	4	0.3%
1885500	4	0.3%
2554471	3	0.2%
30	3	0.2%
1750370	3	0.2%
5772646	3	0.2%
1881895	3	0.2%
5960271	3	0.2%
Other values (1278)	1349	97.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

IPPAccuracy (remove)
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	75.0%
Missing	3271
Missing (%)	99.9%
Memory size	102.6 KiB

10m	2
1	1
649157	1

Length

Max length	6
Median length	3
Mean length	3.25
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	50.0%

Sample

1st row	1
2nd row	10m
3rd row	10m
4th row	649157

Common Values

Value	Count	Frequency (%)
10m	2	0.1%
1	1	< 0.1%
649157	1	< 0.1%
(Missing)	3271	99.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
10m	2	50.0%
1	1	25.0%
649157	1	25.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Destination Coord. (remove)
Categorical

MISSING
UNIFORM

Distinct	2
Distinct (%)	100.0%
Missing	3273
Missing (%)	99.9%
Memory size	102.5 KiB

Unknown	1
36.877609, -85.6652	1

Length

Max length	19
Median length	13
Mean length	13
Min length	7

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	100.0%

Sample

1st row	Unknown
2nd row	36.877609, -85.6652

Common Values

Value	Count	Frequency (%)
Unknown	1	< 0.1%
36.877609, -85.6652	1	< 0.1%
(Missing)	3273	99.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
unknown	1	33.3%
36.877609	1	33.3%
85.6652	1	33.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Temp/H
Categorical

HIGH CARDINALITY
MISSING

Distinct	135
Distinct (%)	11.6%
Missing	2109
Missing (%)	64.4%
Memory size	140.3 KiB

21.11111111	84
26.66666667	73
10	69
4.444444444	51
15.55555556	42
Other values (130)	847

Length

Max length	13
Median length	11
Mean length	8.20754717
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	31 ?
Unique (%)	2.7%

Sample

1st row	35
2nd row	15
3rd row	18
4th row	20
5th row	30

Common Values

Value	Count	Frequency (%)
21.11111111	84	2.6%
26.66666667	73	2.2%
10	69	2.1%
4.444444444	51	1.6%
15.55555556	42	1.3%
23.88888889	37	1.1%
20	34	1.0%
15	33	1.0%
18.33333333	29	0.9%
32.22222222	29	0.9%
Other values (125)	685	20.9%
(Missing)	2109	64.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
21.11111111	84	7.2%
26.66666667	73	6.2%
10	69	5.9%
4.444444444	51	4.4%
15.55555556	42	3.6%
23.88888889	37	3.2%
15	35	3.0%
20	34	2.9%
18.33333333	29	2.5%
32.22222222	29	2.5%
Other values (111)	685	58.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Temp L
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	49
Distinct (%)	33.1%
Missing	3127
Missing (%)	95.5%
Infinite	0
Infinite (%)	0.0%
Mean	11.72594595

Minimum	-9.444444444
Maximum	38
Zeros	4
Zeros (%)	0.1%
Negative	17
Negative (%)	0.5%
Memory size	25.7 KiB

Quantile statistics

Minimum	-9.444444444
5-th percentile	-1.072222222
Q1	3
median	10
Q3	18
95-th percentile	31.3
Maximum	38
Range	47.44444444
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	10.64223461
Coefficient of variation (CV)	0.9075800503
Kurtosis	-0.2564820566
Mean	11.72594595
Median Absolute Deviation (MAD)	7
Skewness	0.5483640518
Sum	1735.44
Variance	113.2571575
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=49)

Value	Count	Frequency (%)
3	19	0.6%
13	11	0.3%
10	8	0.2%
18	8	0.2%
-1	8	0.2%
8	7	0.2%
5	6	0.2%
25	5	0.2%
15.55555556	5	0.2%
20	5	0.2%
Other values (39)	66	2.0%
(Missing)	3127	95.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-9.444444444	1	< 0.1%
-6.666666667	2	0.1%
-5.555555556	1	< 0.1%
-3.888888889	2	0.1%
-3.333333333	1	< 0.1%
-1.111111111	1	< 0.1%
-1	8	0.2%
-0.555555556	1	< 0.1%
0	4	0.1%
1.666666667	2	0.1%

Value	Count	Frequency (%)
38	4	0.1%
37.77777778	1	< 0.1%
33	1	< 0.1%
32.22222222	1	< 0.1%
32	1	< 0.1%
30	2	0.1%
29.44444444	1	< 0.1%
29	1	< 0.1%
28.88888889	1	< 0.1%
26.66666667	2	0.1%

Wind (kph) (remove)
Categorical

HIGH CORRELATION
MISSING

Distinct	46
Distinct (%)	21.7%
Missing	3063
Missing (%)	93.5%
Memory size	108.0 KiB

0	59
10	16
6	16
8	13
15	12
Other values (41)	96

Length

Max length	7
Median length	1
Mean length	1.655660377
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	24 ?
Unique (%)	11.3%

Sample

1st row	31
2nd row	12
3rd row	10
4th row	0
5th row	10

Common Values

Value	Count	Frequency (%)
0	59	1.8%
10	16	0.5%
6	16	0.5%
8	13	0.4%
15	12	0.4%
5	9	0.3%
18	7	0.2%
42	6	0.2%
25	5	0.2%
16	5	0.2%
Other values (36)	64	2.0%
(Missing)	3063	93.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
0	59	27.8%
6	16	7.5%
10	16	7.5%
8	13	6.1%
15	12	5.7%
5	9	4.2%
18	7	3.3%
42	6	2.8%
16	5	2.4%
20	5	2.4%
Other values (34)	64	30.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Weather
Categorical

HIGH CARDINALITY
MISSING

Distinct	287
Distinct (%)	18.3%
Missing	1710
Missing (%)	52.2%
Memory size	151.6 KiB

Clear	404
Clear	170
clear,	111
Rain	81
Overcast	47
Other values (282)	752

Length

Max length	62
Median length	6
Mean length	7.101597444
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	184 ?
Unique (%)	11.8%

Sample

1st row	Clear
2nd row	Clear
3rd row	Clear
4th row	Clear
5th row	Overcast

Common Values

Value	Count	Frequency (%)
Clear	404	12.3%
Clear	170	5.2%
clear,	111	3.4%
Rain	81	2.5%
Overcast	47	1.4%
Cloudy	36	1.1%
sunny,	33	1.0%
Partly cloudy	27	0.8%
Rain	20	0.6%
cool,	19	0.6%
Other values (277)	617	18.8%
(Missing)	1710	52.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
clear	834	43.0%
rain	141	7.3%
cloudy	119	6.1%
sunny	117	6.0%
s	111	5.7%
cool	66	3.4%
overcast	58	3.0%
cold	51	2.6%
hot	42	2.2%
warm	41	2.1%
Other values (102)	359	18.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Snow (remove)
Categorical

HIGH CORRELATION
MISSING

Distinct	12
Distinct (%)	3.8%
Missing	2955
Missing (%)	90.2%
Memory size	110.9 KiB

No	261
0	39
nil	5
Nil	4
1	3
Other values (7)	8

Length

Max length	7
Median length	2
Mean length	1.94375
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	1.9%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	261	8.0%
0	39	1.2%
nil	5	0.2%
Nil	4	0.1%
1	3	0.1%
light	2	0.1%
no	1	< 0.1%
on tops	1	< 0.1%
y	1	< 0.1%
Snow	1	< 0.1%
Other values (2)	2	0.1%
(Missing)	2955	90.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
no	262	81.6%
0	39	12.1%
nil	10	3.1%
1	3	0.9%
light	2	0.6%
snow	2	0.6%
on	1	0.3%
tops	1	0.3%
y	1	0.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Rain (remove)
Categorical

HIGH CORRELATION
MISSING

Distinct	24
Distinct (%)	5.3%
Missing	2825
Missing (%)	86.3%
Memory size	114.5 KiB

No	303
Yes	55
0	30
None	13
nil	8
Other values (19)	41

Length

Max length	16
Median length	2
Mean length	2.426666667
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	11 ?
Unique (%)	2.4%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	Yes
5th row	No

Common Values

Value	Count	Frequency (%)
No	303	9.3%
Yes	55	1.7%
0	30	0.9%
None	13	0.4%
nil	8	0.2%
Light	6	0.2%
Heavy	6	0.2%
Nil	4	0.1%
Drizzle	4	0.1%
10	4	0.1%
Other values (14)	17	0.5%
(Missing)	2825	86.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
no	303	66.9%
yes	55	12.1%
0	30	6.6%
none	13	2.9%
nil	13	2.9%
heavy	8	1.8%
light	7	1.5%
drizzle	7	1.5%
showers	4	0.9%
10	4	0.9%
Other values (8)	9	2.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Light (remove)
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	27.3%
Missing	3264
Missing (%)	99.7%
Memory size	102.8 KiB

Day	4
Day+Night	4
Twilight	3

Length

Max length	9
Median length	8
Mean length	6.545454545
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Day
2nd row	Day+Night
3rd row	Day
4th row	Day+Night
5th row	Day+Night

Common Values

Value	Count	Frequency (%)
Day	4	0.1%
Day+Night	4	0.1%
Twilight	3	0.1%
(Missing)	3264	99.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
day	4	36.4%
day+night	4	36.4%
twilight	3	27.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Investigative Find (remove)
Categorical

HIGH CORRELATION
MISSING

Distinct	6
Distinct (%)	3.7%
Missing	3111
Missing (%)	95.0%
Memory size	106.9 KiB

Yes	75
No	67
no	19
Left area	1
Taxi	1

Length

Max length	9
Median length	2
Mean length	2.536585366
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	1.8%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
Yes	75	2.3%
No	67	2.0%
no	19	0.6%
Left area	1	< 0.1%
Taxi	1	< 0.1%
Church	1	< 0.1%
(Missing)	3111	95.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
no	86	52.1%
yes	75	45.5%
left	1	0.6%
area	1	0.6%
taxi	1	0.6%
church	1	0.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Inv Find Details (remove)
Categorical

HIGH CORRELATION
MISSING

Distinct	6
Distinct (%)	60.0%
Missing	3265
Missing (%)	99.7%
Memory size	102.8 KiB

Bus	3
Hospital	2
Took transportation	2
runaway	1
With family	1

Length

Max length	19
Median length	7.5
Mean length	8.5
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	30.0%

Sample

1st row	Hospital
2nd row	runaway
3rd row	Took transportation
4th row	Took transportation
5th row	With family

Common Values

Value	Count	Frequency (%)
Bus	3	0.1%
Hospital	2	0.1%
Took transportation	2	0.1%
runaway	1	< 0.1%
With family	1	< 0.1%
ride	1	< 0.1%
(Missing)	3265	99.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
bus	3	23.1%
hospital	2	15.4%
took	2	15.4%
transportation	2	15.4%
runaway	1	7.7%
with	1	7.7%
family	1	7.7%
ride	1	7.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Suspended (remove)
Categorical

HIGH CORRELATION
MISSING

Distinct	10
Distinct (%)	9.9%
Missing	3174
Missing (%)	96.9%
Memory size	105.4 KiB

No	67
Yes	22
Authority Decision	3
Not in Area	2
Lack of clues	2
Other values (5)	5

Length

Max length	118
Median length	2
Mean length	4.920792079
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	5.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	67	2.0%
Yes	22	0.7%
Authority Decision	3	0.1%
Not in Area	2	0.1%
Lack of clues	2	0.1%
Suspended	1	< 0.1%
Out of Area	1	< 0.1%
LACK CLUES / FAMILY DECISION	1	< 0.1%
No Clues, Exhausted Resources	1	< 0.1%
Seach covered a high POD witness reports that he was at a truckstop on a nearby interstee lead to high ROW possibility	1	< 0.1%
(Missing)	3174	96.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
no	68	47.9%
yes	22	15.5%
decision	4	2.8%
clues	4	2.8%
authority	3	2.1%
area	3	2.1%
lack	3	2.1%
of	3	2.1%
a	3	2.1%
not	2	1.4%
Other values (25)	27	19.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Subject Found feature
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	59
Distinct (%)	3.5%
Missing	1575
Missing (%)	48.1%
Memory size	161.7 KiB

Residence	488
Building/developed area	335
Road	246
Forest	124
Structure	100
Other values (54)	407

Length

Max length	35
Median length	9
Mean length	10.66235294
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	27 ?
Unique (%)	1.6%

Sample

1st row	Water
2nd row	Road
3rd row	Road
4th row	Water
5th row	Road

Common Values

Value	Count	Frequency (%)
Residence	488	14.9%
Building/developed area	335	10.2%
Road	246	7.5%
Forest	124	3.8%
Structure	100	3.1%
Field	64	2.0%
Water	39	1.2%
Vehicle	34	1.0%
Drainage	33	1.0%
Linear	33	1.0%
Other values (49)	204	6.2%
(Missing)	1575	48.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
residence	491	22.7%
area	345	16.0%
building/developed	340	15.7%
road	246	11.4%
forest	133	6.1%
structure	100	4.6%
field	65	3.0%
water	44	2.0%
	41	1.9%
vehicle	34	1.6%
Other values (55)	324	15.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Found Secondary (remove)
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	84
Distinct (%)	39.6%
Missing	3063
Missing (%)	93.5%
Memory size	110.2 KiB

None/Grass	25
Building	14
Wall / Fence Line	14
Medium	13
Parking Lot	13
Other values (79)	133

Length

Max length	145
Median length	8
Mean length	12.55660377
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	61 ?
Unique (%)	28.8%

Sample

1st row	Mangroves
2nd row	Building
3rd row	Bus shelter
4th row	Building
5th row	Church

Common Values

Value	Count	Frequency (%)
None/Grass	25	0.8%
Building	14	0.4%
Wall / Fence Line	14	0.4%
Medium	13	0.4%
Parking Lot	13	0.4%
Railroad	9	0.3%
City	9	0.3%
Sparse	8	0.2%
Bus	6	0.2%
Stream	5	0.2%
Other values (74)	96	2.9%
(Missing)	3063	93.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
none/grass	25	5.6%
	16	3.6%
fence	15	3.4%
building	14	3.2%
wall	14	3.2%
line	14	3.2%
medium	13	2.9%
parking	13	2.9%
lot	13	2.9%
city	12	2.7%
Other values (185)	294	66.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Mobility Responsiveness (remove)
Categorical

HIGH CORRELATION
MISSING

Distinct	10
Distinct (%)	6.9%
Missing	3131
Missing (%)	95.6%
Memory size	107.2 KiB

Mobile	93
Immobile	25
non-responsive	5
Mobile and unresponsive	5
Mobile and Unresponsive	5
Other values (5)	11

Length

Max length	25
Median length	6
Mean length	8.986111111
Min length	6

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	1.4%

Sample

1st row	Immobile
2nd row	Mobile
3rd row	Mobile
4th row	Immobile
5th row	Mobile

Common Values

Value	Count	Frequency (%)
Mobile	93	2.8%
Immobile	25	0.8%
non-responsive	5	0.2%
Mobile and unresponsive	5	0.2%
Mobile and Unresponsive	5	0.2%
Mobile and responsive	4	0.1%
Immobile and Unresponsive	3	0.1%
Immobile and unresponsive	2	0.1%
Responsive	1	< 0.1%
Mobile/Responsive	1	< 0.1%
(Missing)	3131	95.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
mobile	107	58.8%
immobile	30	16.5%
and	19	10.4%
unresponsive	15	8.2%
non-responsive	5	2.7%
responsive	5	2.7%
mobile/responsive	1	0.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Lost Strategy
Categorical

HIGH CARDINALITY
MISSING

Distinct	107
Distinct (%)	24.1%
Missing	2831
Missing (%)	86.4%
Memory size	123.6 KiB

Random wandering	103
Wandered	48
None	44
Travel Aid	29
Stayed Put	16
Other values (102)	204

Length

Max length	253
Median length	11
Mean length	23.58333333
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	82 ?
Unique (%)	18.5%

Sample

1st row	Travel Aid
2nd row	Travel Aid
3rd row	Stayed Put
4th row	Travel Aid
5th row	Stayed Put

Common Values

Value	Count	Frequency (%)
Random wandering	103	3.1%
Wandered	48	1.5%
None	44	1.3%
Travel Aid	29	0.9%
Stayed Put	16	0.5%
Nil	15	0.5%
Maintained one specific route	12	0.4%
Nothing	11	0.3%
Other	11	0.3%
Staying put	9	0.3%
Other values (97)	146	4.5%
(Missing)	2831	86.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
random	113	6.6%
wandering	103	6.0%
wandered	49	2.9%
to	47	2.8%
none	45	2.6%
travel	34	2.0%
aid	34	2.0%
a	28	1.6%
put	27	1.6%
was	26	1.5%
Other values (456)	1200	70.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Distance IPP (km)
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	479
Distinct (%)	20.0%
Missing	883
Missing (%)	27.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.080007375

Minimum	0
Maximum	316.895072
Zeros	211
Zeros (%)	6.4%
Negative	0
Negative (%)	0.0%
Memory size	25.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.39624076
median	1
Q3	3.006827603
95-th percentile	11.26542962
Maximum	316.895072
Range	316.895072
Interquartile range (IQR)	2.610586843

Descriptive statistics

Standard deviation	9.592975975
Coefficient of variation (CV)	3.114595132
Kurtosis	526.063606
Mean	3.080007375
Median Absolute Deviation (MAD)	0.847599708
Skewness	18.83551717
Sum	7367.37764
Variance	92.02518805
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	211	6.4%
0.914401754	110	3.4%
0.39624076	95	2.9%
1.609347088	79	2.4%
1	60	1.8%
1.219202339	59	1.8%
0.805	54	1.6%
0.161	48	1.5%
0.5	46	1.4%
2	46	1.4%
Other values (469)	1584	48.4%
(Missing)	883	27.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	211	6.4%
7.62 × 10^-5	1	< 0.1%
0.000304801	1	< 0.1%
0.000408	1	< 0.1%
0.000457201	1	< 0.1%
0.0013	1	< 0.1%
0.003048006	1	< 0.1%
0.005	1	< 0.1%
0.006096012	2	0.1%
0.007620015	4	0.1%

Value	Count	Frequency (%)
316.895072	1	< 0.1%
152.4002924	1	< 0.1%
128.747767	1	< 0.1%
104.0131996	1	< 0.1%
82.07670148	1	< 0.1%
75	1	< 0.1%
72.42061895	1	< 0.1%
64.37388352	1	< 0.1%
50.69443327	1	< 0.1%
48.3	1	< 0.1%

Distance Destination (km) (remove)
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	100.0%
Missing	3274
Missing (%)	> 99.9%
Memory size	128.1 KiB

7.00313428	1

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	100.0%

Sample

1st row	7.00313428

Common Values

Value	Count	Frequency (%)
7.00313428	1	< 0.1%
(Missing)	3274	> 99.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
7.00313428	1	100.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Distance IPP (miles) (remove)
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	284
Distinct (%)	15.7%
Missing	1465
Missing (%)	44.7%
Infinite	0
Infinite (%)	0.0%
Mean	1.924397871

Minimum	0
Maximum	196.9090909
Zeros	173
Zeros (%)	5.3%
Negative	0
Negative (%)	0.0%
Memory size	25.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.246212121
median	0.568181818
Q3	1.86
95-th percentile	6.864
Maximum	196.9090909
Range	196.9090909
Interquartile range (IQR)	1.613787879

Descriptive statistics

Standard deviation	6.572008441
Coefficient of variation (CV)	3.415098583
Kurtosis	469.0758904
Mean	1.924397871
Median Absolute Deviation (MAD)	0.479781818
Skewness	18.30860218
Sum	3483.160146
Variance	43.19129495
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	173	5.3%
1	119	3.6%
0.568181818	110	3.4%
0.246212121	95	2.9%
0.5	70	2.1%
2	59	1.8%
0.757575758	59	1.8%
0.1	48	1.5%
3	44	1.3%
5	40	1.2%
Other values (274)	993	30.3%
(Missing)	1465	44.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	173	5.3%
4.73 × 10^-5	1	< 0.1%
0.000189394	1	< 0.1%
0.000284091	1	< 0.1%
0.001893939	1	< 0.1%
0.003787879	2	0.1%
0.004734848	4	0.1%
0.005681818	1	< 0.1%
0.006818182	1	< 0.1%
0.009469697	4	0.1%

Value	Count	Frequency (%)
196.9090909	1	< 0.1%
94.6969697	1	< 0.1%
80	1	< 0.1%
64.63068182	1	< 0.1%
51	1	< 0.1%
45	1	< 0.1%
40	1	< 0.1%
31.5	1	< 0.1%
30	1	< 0.1%
28	1	< 0.1%

Track Offset (m)
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	109
Distinct (%)	9.3%
Missing	2101
Missing (%)	64.2%
Infinite	0
Infinite (%)	0.0%
Mean	101.1648422

Minimum	0
Maximum	12874.90856
Zeros	437
Zeros (%)	13.3%
Negative	0
Negative (%)	0.0%
Memory size	25.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	4.572055596
Q3	30.48037064
95-th percentile	396.2448183
Maximum	12874.90856
Range	12874.90856
Interquartile range (IQR)	30.48037064

Descriptive statistics

Standard deviation	537.60697
Coefficient of variation (CV)	5.314168029
Kurtosis	321.4465726
Mean	101.1648422
Median Absolute Deviation (MAD)	4.572055596
Skewness	15.76627666
Sum	118767.5247
Variance	289021.2542
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	437	13.3%
15.24018532	75	2.3%
30.48037064	52	1.6%
3.048037064	47	1.4%
91.44111192	32	1.0%
9.144111192	26	0.8%
6.096074128	25	0.8%
1.524018532	24	0.7%
10	23	0.7%
3	22	0.7%
Other values (99)	411	12.5%
(Missing)	2101	64.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	437	13.3%
0.01	1	< 0.1%
0.1	2	0.1%
0.3	1	< 0.1%
0.304803706	3	0.1%
0.45720556	1	< 0.1%
0.609607413	7	0.2%
0.914411119	12	0.4%
1	8	0.2%
1.219214826	3	0.1%

Value	Count	Frequency (%)
12874.90856	1	< 0.1%
8046.817849	1	< 0.1%
5000	1	< 0.1%
3962.448183	1	< 0.1%
3200.438917	1	< 0.1%
2377.46891	2	0.1%
1828.822238	1	< 0.1%
1609.36357	9	0.3%
1600	1	< 0.1%
1524.018532	1	< 0.1%

Find Coord
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	434
Distinct (%)	97.3%
Missing	2829
Missing (%)	86.4%
Memory size	118.6 KiB

2554571	3
0	3
45.502737, -122.798013	3
1757286	2
1853085	2
Other values (429)	433

Length

Max length	39
Median length	7
Mean length	12.09865471
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	425 ?
Unique (%)	95.3%

Sample

1st row	Map 16 G5
2nd row	8125 04365 59742
3rd row	821241
4th row	205 J11
5th row	GR821239

Common Values

Value	Count	Frequency (%)
2554571	3	0.1%
0	3	0.1%
45.502737, -122.798013	3	0.1%
1757286	2	0.1%
1853085	2	0.1%
1755328	2	0.1%
295	2	0.1%
954/775	2	0.1%
45.150825, -122.5717769	2	0.1%
1751393	1	< 0.1%
Other values (424)	424	12.9%
(Missing)	2829	86.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2554571	3	0.5%
122.798013	3	0.5%
0	3	0.5%
45.502737	3	0.5%
1853085	2	0.3%
1755328	2	0.3%
295	2	0.3%
954/775	2	0.3%
45.150825	2	0.3%
122.5717769	2	0.3%
Other values (575)	577	96.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Find Accuracy
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	262
Distinct (%)	97.8%
Missing	3007
Missing (%)	91.8%
Memory size	110.7 KiB

0	3
5960671	3
5914957	2
5854078	2
5426749	1
Other values (257)	257

Length

Max length	9
Median length	7
Mean length	6.611940299
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	258 ?
Unique (%)	96.3%

Sample

1st row	1
2nd row	5741710
3rd row	657
4th row	5984459
5th row	5757860

Common Values

Value	Count	Frequency (%)
0	3	0.1%
5960671	3	0.1%
5914957	2	0.1%
5854078	2	0.1%
5426749	1	< 0.1%
6348475	1	< 0.1%
5402688	1	< 0.1%
5819945	1	< 0.1%
5923348	1	< 0.1%
5917563	1	< 0.1%
Other values (252)	252	7.7%
(Missing)	3007	91.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
0	3	1.1%
5960671	3	1.1%
5914957	2	0.7%
5854078	2	0.7%
6477869	1	0.4%
6491896	1	0.4%
6471838	1	0.4%
6474683	1	0.4%
6468161	1	0.4%
6467602	1	0.4%
Other values (253)	253	94.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Disperson Angle (remove)
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	2
Distinct (%)	100.0%
Missing	3273
Missing (%)	99.9%
Memory size	128.1 KiB

11.57518882	1
153.4349488	1

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	100.0%

Sample

1st row	11.57518882
2nd row	153.4349488

Common Values

Value	Count	Frequency (%)
11.57518882	1	< 0.1%
153.4349488	1	< 0.1%
(Missing)	3273	99.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
11.57518882	1	50.0%
153.4349488	1	50.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Mission Close (remove)
Categorical

HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	3.1%
Missing	3115
Missing (%)	95.1%
Memory size	107.3 KiB

Found	149
No Information	5
Authority Decision	4
Not Found	1
Nothing Found	1

Length

Max length	18
Median length	5
Mean length	5.68125
Min length	5

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	1.2%

Sample

1st row	Found
2nd row	Found
3rd row	Found
4th row	Found
5th row	Found

Common Values

Value	Count	Frequency (%)
Found	149	4.5%
No Information	5	0.2%
Authority Decision	4	0.1%
Not Found	1	< 0.1%
Nothing Found	1	< 0.1%
(Missing)	3115	95.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
found	151	88.3%
no	5	2.9%
information	5	2.9%
authority	4	2.3%
decision	4	2.3%
not	1	0.6%
nothing	1	0.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Rescue Method
Categorical

HIGH CORRELATION
MISSING

Distinct	18
Distinct (%)	16.5%
Missing	3166
Missing (%)	96.7%
Memory size	106.8 KiB

Assist/own power	46
Vehicle evacuation	20
Carry out by foot	13
Walkout	5
Assist/own power~Vehicle evacuation	5
Other values (13)	20

Length

Max length	35
Median length	16
Mean length	15.72477064
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	8.3%

Sample

1st row	Assist/own power
2nd row	Carry out by foot
3rd row	Vehicle evacuation
4th row	Assist/own power
5th row	Vehicle evacuation

Common Values

Value	Count	Frequency (%)
Assist/own power	46	1.4%
Vehicle evacuation	20	0.6%
Carry out by foot	13	0.4%
Walkout	5	0.2%
Assist/own power~Vehicle evacuation	5	0.2%
Own Power	4	0.1%
Vehicle	3	0.1%
Helicopter	2	0.1%
Carryout	2	0.1%
Carry Out	1	< 0.1%
Other values (8)	8	0.2%
(Missing)	3166	96.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
assist/own	51	21.9%
power	50	21.5%
evacuation	26	11.2%
vehicle	23	9.9%
carry	14	6.0%
out	14	6.0%
by	13	5.6%
foot	13	5.6%
walkout	5	2.1%
power~vehicle	5	2.1%
Other values (14)	19	8.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Resources Used
Categorical

HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	42.9%
Missing	3254
Missing (%)	99.4%
Memory size	103.8 KiB

Police Officers.	9
Police Officers., Family/volunteers.	5
Police Officers., State Emergency Service., Family/volunteers., Helicopter.	1
Police Officers., State Emergency Service., Helicopter., Fixed wing aircraft., Other Gov Departments eg National Parks Officers	1
Police Officers., State Emergency Service., Family/volunteers.	1
Other values (4)	4

Length

Max length	127
Median length	36
Mean length	41.0952381
Min length	16

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	33.3%

Sample

1st row	Police Officers.
2nd row	Police Officers.
3rd row	Police Officers., State Emergency Service., Family/volunteers., Helicopter.
4th row	Police Officers., State Emergency Service., Helicopter., Fixed wing aircraft., Other Gov Departments eg National Parks Officers
5th row	Police Officers.

Common Values

Value	Count	Frequency (%)
Police Officers.	9	0.3%
Police Officers., Family/volunteers.	5	0.2%
Police Officers., State Emergency Service., Family/volunteers., Helicopter.	1	< 0.1%
Police Officers., State Emergency Service., Helicopter., Fixed wing aircraft., Other Gov Departments eg National Parks Officers	1	< 0.1%
Police Officers., State Emergency Service., Family/volunteers.	1	< 0.1%
Police Officers., State Emergency Service., Helicopter., Volunteer water rescue	1	< 0.1%
Police Officers., State Emergency Service.	1	< 0.1%
Police Officers., State Emergency Service., Family/volunteers., Helicopter., Other Gov Departments eg National Parks Officers	1	< 0.1%
Police Officers., Helicopter.	1	< 0.1%
(Missing)	3254	99.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
officers	23	24.7%
police	21	22.6%
family/volunteers	8	8.6%
state	6	6.5%
emergency	6	6.5%
service	6	6.5%
helicopter	5	5.4%
parks	2	2.2%
other	2	2.2%
gov	2	2.2%
Other values (9)	12	12.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Total Air Hours
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	18
Distinct (%)	4.6%
Missing	2880
Missing (%)	87.9%
Infinite	0
Infinite (%)	0.0%
Mean	0.3194936709

Minimum	0
Maximum	20
Zeros	345
Zeros (%)	10.5%
Negative	0
Negative (%)	0.0%
Memory size	25.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	2
Maximum	20
Range	20
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.406511235
Coefficient of variation (CV)	4.402313295
Kurtosis	106.7534013
Mean	0.3194936709
Median Absolute Deviation (MAD)	0
Skewness	8.969921736
Sum	126.2
Variance	1.978273855
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
0	345	10.5%
1	12	0.4%
3	8	0.2%
0.5	7	0.2%
2	6	0.2%
0.4	2	0.1%
1.5	2	0.1%
2.8	2	0.1%
5	2	0.1%
0.9	1	< 0.1%
Other values (8)	8	0.2%
(Missing)	2880	87.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	345	10.5%
0.4	2	0.1%
0.5	7	0.2%
0.9	1	< 0.1%
1	12	0.4%
1.2	1	< 0.1%
1.5	2	0.1%
2	6	0.2%
2.1	1	< 0.1%
2.5	1	< 0.1%

Value	Count	Frequency (%)
20	1	< 0.1%
10.3	1	< 0.1%
8.3	1	< 0.1%
5.9	1	< 0.1%
5	2	0.1%
4.1	1	< 0.1%
3	8	0.2%
2.8	2	0.1%
2.5	1	< 0.1%
2.1	1	< 0.1%

Total Personnel
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
SKEWED

Distinct	78
Distinct (%)	10.6%
Missing	2540
Missing (%)	77.6%
Infinite	0
Infinite (%)	0.0%
Mean	16.96326531

Minimum	0
Maximum	1857
Zeros	18
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	25.7 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	4
median	7
Q3	15
95-th percentile	56
Maximum	1857
Range	1857
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	71.8126537
Coefficient of variation (CV)	4.233421597
Kurtosis	589.3424198
Mean	16.96326531
Median Absolute Deviation (MAD)	4
Skewness	23.12213305
Sum	12468
Variance	5157.057232
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6	66	2.0%
3	64	2.0%
4	58	1.8%
5	55	1.7%
1	48	1.5%
2	40	1.2%
7	38	1.2%
9	30	0.9%
8	29	0.9%
12	25	0.8%
Other values (68)	282	8.6%
(Missing)	2540	77.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	18	0.5%
1	48	1.5%
2	40	1.2%
3	64	2.0%
4	58	1.8%
5	55	1.7%
6	66	2.0%
7	38	1.2%
8	29	0.9%
9	30	0.9%

Value	Count	Frequency (%)
1857	1	< 0.1%
216	1	< 0.1%
210	1	< 0.1%
194	1	< 0.1%
174	1	< 0.1%
149	1	< 0.1%
142	1	< 0.1%
133	1	< 0.1%
125	1	< 0.1%
120	1	< 0.1%

Total Man Hours
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	310
Distinct (%)	30.9%
Missing	2271
Missing (%)	69.3%
Infinite	0
Infinite (%)	0.0%
Mean	76.42832769

Minimum	0
Maximum	6600
Zeros	16
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	25.7 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	4
median	12
Q3	38.7
95-th percentile	295.65
Maximum	6600
Range	6600
Interquartile range (IQR)	34.7

Descriptive statistics

Standard deviation	319.3801666
Coefficient of variation (CV)	4.178819245
Kurtosis	199.126412
Mean	76.42832769
Median Absolute Deviation (MAD)	10
Skewness	12.09638111
Sum	76734.041
Variance	102003.6908
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	63	1.9%
2	54	1.6%
3	40	1.2%
4	37	1.1%
5	35	1.1%
6	35	1.1%
8	24	0.7%
12	23	0.7%
10	22	0.7%
9	20	0.6%
Other values (300)	651	19.9%
(Missing)	2271	69.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	16	0.5%
0.25	1	< 0.1%
0.5	9	0.3%
0.6	1	< 0.1%
0.65	1	< 0.1%
0.7	1	< 0.1%
0.75	2	0.1%
0.8	2	0.1%
1	63	1.9%
1.08	1	< 0.1%

Value	Count	Frequency (%)
6600	1	< 0.1%
3312	1	< 0.1%
2560	1	< 0.1%
2527	1	< 0.1%
2401	1	< 0.1%
2371.6	1	< 0.1%
2220	1	< 0.1%
1794.4	1	< 0.1%
1725	1	< 0.1%
1250	1	< 0.1%

Total Cost
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	286
Distinct (%)	33.8%
Missing	2428
Missing (%)	74.1%
Infinite	0
Infinite (%)	0.0%
Mean	949.1198471

Minimum	0
Maximum	74997.999
Zeros	211
Zeros (%)	6.4%
Negative	0
Negative (%)	0.0%
Memory size	25.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	11.505
median	208.25
Q3	721.4375
95-th percentile	3761.675
Maximum	74997.999
Range	74997.999
Interquartile range (IQR)	709.9325

Descriptive statistics

Standard deviation	3436.290867
Coefficient of variation (CV)	3.620502593
Kurtosis	265.1295962
Mean	949.1198471
Median Absolute Deviation (MAD)	208.25
Skewness	13.82057655
Sum	803904.5105
Variance	11808094.93
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	211	6.4%
80.75	59	1.8%
144.5	31	0.9%
161.5	24	0.7%
208.25	20	0.6%
105	13	0.4%
242.25	12	0.4%
335.75	11	0.3%
70	11	0.3%
210	10	0.3%
Other values (276)	445	13.6%
(Missing)	2428	74.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	211	6.4%
10	1	< 0.1%
13.01	1	< 0.1%
21.58	1	< 0.1%
22.28	1	< 0.1%
35	2	0.1%
36.56	1	< 0.1%
37.5	1	< 0.1%
40.375	3	0.1%
41.5	1	< 0.1%

Value	Count	Frequency (%)
74997.999	1	< 0.1%
26604.5665	1	< 0.1%
22967	1	< 0.1%
22525	1	< 0.1%
21913	1	< 0.1%
17970.98	1	< 0.1%
16847	1	< 0.1%
14603	1	< 0.1%
12284.7525	1	< 0.1%
11611	1	< 0.1%

Comments
Categorical

HIGH CARDINALITY
MISSING

Distinct	870
Distinct (%)	91.2%
Missing	2321
Missing (%)	70.9%
Memory size	342.5 KiB

[See report for details.]	51
NR	9
no	7
Nil	6
No	5
Other values (865)	876

Length

Max length	3732
Median length	114
Mean length	232.1226415
Min length	2

Characters and Unicode

Total characters	1117
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	855 ?
Unique (%)	89.6%

Sample

1st row	71 year old male suffering Alzheimers, canoeing in bay. Deceased; found by helicopter.
2nd row	Left at 0630 to drive 14km to Jondaryan. Drove through. Ran out of fuel 260 km later, still believed he was heading for Jondaryan. Located 4km E. of Wallumbilla.
3rd row	Descp broadcast to taxis, trucks, etc. MP located by taxi driver.
4th row	88 year old male suffering dementia, wandered from Geriatric Centre. Suffering mild hyperthermia when found. Vic Roads 256 J21 to 257 L22, approx. 1000m.
5th row	Alzheimers patient wandered from hospital, diabetic, partially blind. Found by Mobile Police Patrol. [Moved local coord to LKP coord.]

Common Values

Value	Count	Frequency (%)
[See report for details.]	51	1.6%
NR	9	0.3%
no	7	0.2%
Nil	6	0.2%
No	5	0.2%
none	3	0.1%
84 year old male suffering dementia wandered.	2	0.1%
On April 30th, 2009 at 1942 hours, myself and several other deputies responded to [address]. [Reporting party] reported that her father, [subject], has dementia and had wandered away from the residence. [Reporting party] stated that her father had been gone for approximately a half an hour. [subject] is a client of Project Lifesaver, SAR was activated and we attempted to locate the subject by his Project Lifesaver transmitter bracelet. [subject] was located at 2207 hours by an off duty deputy 7.8 miles away from his residence. The subject was found unharmed and was returned to the residence.	2	0.1%
None	2	0.1%
Missing 66yo Alzheimer's Walkawy	2	0.1%
Other values (860)	865	26.4%
(Missing)	2321	70.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	1527	4.0%
and	1150	3.0%
to	1098	2.9%
was	945	2.5%
a	772	2.0%
in	681	1.8%
from	549	1.5%
subject	527	1.4%
of	510	1.3%
at	474	1.3%
Other values (4897)	29572	78.2%

Most occurring characters

Value	Count	Frequency (%)
	1117	100.0%

Most occurring categories

Value	Count	Frequency (%)
Control	1117	100.0%

Most frequent character per category

Control

Value	Count	Frequency (%)
	1117	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1117	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
	1117	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1117	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1117	100.0%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Incident #	Data Source	Country	State/Province/Region	Incident Type	Incident Date Time	Incident Year	Incident Month	Incident Day	Time	City	County	EcoRegion Domain	Population Density	Terrain	Subject Category	Subject Sub-Category	Subject Activity	Scenario	Group Type	# Lost	Age	Sex	Weight (Kg)	Height (Cm)	Physical Fitness	Mental Fitness	Experience	Clothing	Personality	Subject Status	Notify hours	Search hours	Total Time Lost	TTL Hours	IPP Type	IPP Classification	IPP Coord.	IPPAccuracy (remove)	Destination Coord. (remove)	Temp/H	Temp L	Wind (kph) (remove)	Weather	Snow (remove)	Rain (remove)	Light (remove)	Investigative Find (remove)	Inv Find Details (remove)	Suspended (remove)	Subject Found feature	Found Secondary (remove)	Mobility Responsiveness (remove)	Lost Strategy	Distance IPP (km)	Distance Destination (km) (remove)	Distance IPP (miles) (remove)	Track Offset (m)	Find Coord	Find Accuracy	Disperson Angle (remove)	Mission Close (remove)	Rescue Method	Resources Used	Total Air Hours	Total Personnel	Total Man Hours	Total Cost	Comments
0	1	PLI	US	VA	NaN	7/28/2004	2004.0	7.0	28.0	NaN	Chesapeake	VA	Temperate	NaN	NaN	Demenita	NaN	NaN	NaN	M	1.0	NaN	M	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Well	0.020833333	0.014583333	0.035416667	0.035416666	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Clear	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.396241	NaN	0.246212	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1	2	AU	AU	NaN	Recovery	9/30/2000	2000.0	9.0	30.0	NaN	Port Broughton	SA	Dry	NaN	NaN	Dementia	NaN	Canoeing	Trauma	M	1.0	71.0	M	60.0	178.0	Poor	Moderate	Poor	Fair	NaN	DOA	NaN	NaN	NaN	0	WATER	NaN	NaN	NaN	NaN	NaN	15.0	31	Clear	No	No	NaN	No	NaN	No	Water	Mangroves	Immobile	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Found	NaN	NaN	NaN	NaN	NaN	NaN	71 year old male suffering Alzheimers, canoeing in bay. Deceased; found by helicopter.
2	3	AU	AU	NaN	Search	1/7/2000	2000.0	1.0	7.0	NaN	Jondaryan	QLD	Temperate	Rural	Flat	Dementia	NaN	Driving	Lost	M	1.0	80.0	M	70.0	170.0	Fair	Moderate	Good	Fair	NaN	Injured	NaN	NaN	0.270833333	0.270833333	BUILDING	NaN	NaN	NaN	NaN	35	30.0	12	Clear	No	No	NaN	No	NaN	No	Road	NaN	Mobile	Travel Aid	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Found	NaN	NaN	NaN	NaN	NaN	NaN	Left at 0630 to drive 14km to Jondaryan. Drove through. Ran out of fuel 260 km later, still believed he was heading for Jondaryan. Located 4km E. of Wallumbilla.
3	4	AU	AU	NaN	Search	11/15/2001	2001.0	11.0	15.0	NaN	Ballarat	VIC	Temperate	NaN	Flat	Dementia	NaN	Walkaway	Lost	M	1.0	70.0	M	50.0	175.0	Poor	Mild	Fair	Fair	Withdrawn	Well	NaN	NaN	0.263888875	0.263888875	RESIDENCE	NaN	VicRoads 254 D11	NaN	NaN	NaN	NaN	NaN	Clear	No	No	NaN	No	NaN	No	Road	NaN	Mobile	NaN	6.000000	NaN	3.720000	NaN	NaN	NaN	NaN	Found	NaN	NaN	NaN	NaN	23.0	NaN	Descp broadcast to taxis, trucks, etc. MP located by taxi driver.
4	5	AU	AU	NaN	Search	10/9/2000	2000.0	10.0	9.0	NaN	Ballarat	VIC	Temperate	Urban	Flat	Dementia	NaN	Walkaway	Lost	M	1.0	88.0	M	60.0	160.0	Poor	Moderate	Poor	Fair	Withdrawn	Injured	NaN	NaN	0.861805417	0.861805417	RESIDENCE	NaN	Map 16 F3	NaN	NaN	15	10.0	NaN	Overcast	NaN	NaN	NaN	No	NaN	No	Water	NaN	Immobile	Travel Aid	1.000000	NaN	0.620000	NaN	Map 16 G5	NaN	NaN	Found	NaN	NaN	NaN	NaN	15.0	NaN	88 year old male suffering dementia, wandered from Geriatric Centre. Suffering mild hyperthermia when found. Vic Roads 256 J21 to 257 L22, approx. 1000m.
5	6	AU	AU	NaN	Search	12/26/2001	2001.0	12.0	26.0	NaN	Wangaratta	VIC	Dry	Urban	Flat	Dementia	NaN	Walkaway	Lost	M	1.0	68.0	M	78.0	170.0	Poor	Moderate	Poor	Fair	Withdrawn	Injured	NaN	NaN	0.42361125	0.42361125	RESIDENCE	NaN	8125 04370 59757	NaN	NaN	18	8.0	10	Showers	NaN	Yes	NaN	No	NaN	No	Road	NaN	Mobile	Stayed Put	1.600000	NaN	0.992000	NaN	8125 04365 59742	NaN	NaN	Found	NaN	NaN	NaN	NaN	NaN	NaN	Alzheimers patient wandered from hospital, diabetic, partially blind. Found by Mobile Police Patrol. [Moved local coord to LKP coord.]
6	7	AU	AU	NaN	Search	9/18/2001	2001.0	9.0	18.0	NaN	Pooraka, Adelaide	SA	Dry	Urban	NaN	Dementia	Parkinsons	Walkaway	Investigative	M	1.0	57.0	M	NaN	NaN	NaN	Mild	NaN	NaN	NaN	Well	NaN	NaN	1	1	RESIDENCE	NaN	NaN	NaN	NaN	20	NaN	0	Clear	No	No	NaN	Yes	NaN	No	Structure	Building	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Found	NaN	NaN	NaN	NaN	NaN	NaN	Found in hospital - resources still activated; due to misinformation re location of missing person. [Set dist=0.05]
7	8	AU	AU	NaN	Search	2/27/2001	2001.0	2.0	27.0	NaN	Paradise Point	QLD	Temperate	Urban	Flat	Dementia	NaN	Walkaway	Lost	F	1.0	89.0	F	70.0	160.0	Fair	Moderate	Good	Fair	Unsure	Well	NaN	NaN	0.395833333	0.395833333	RESIDENCE	NaN	NaN	NaN	NaN	30	25.0	NaN	Clear	No	No	NaN	No	NaN	No	Road	Bus shelter	Mobile	NaN	20.000000	NaN	12.400000	NaN	NaN	NaN	NaN	Found	NaN	NaN	NaN	NaN	9.0	NaN	Person suffering dementia, wandered away from home, found in bus shelter. Had caught a bus. [Presumably found by car patrol.]
8	9	AU	AU	NaN	Search	9/30/2001	2001.0	9.0	30.0	NaN	Kadina	SA	Temperate	Urban	NaN	Dementia	NaN	Walkaway	Lost	M	1.0	71.0	M	NaN	NaN	NaN	Moderate	NaN	NaN	NaN	Well	NaN	NaN	0.083333333	0.083333333	RESIDENCE	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	No	NaN	No	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Found	NaN	NaN	NaN	NaN	NaN	NaN	71 year old dementia sufferer refused medication and wandered off from nursing home.
9	10	AU	AU	NaN	Search	10/11/2001	2001.0	10.0	11.0	NaN	Glenelg	SA	Temperate	Urban	NaN	Dementia	NaN	Walkaway	Lost	M	1.0	77.0	M	NaN	NaN	NaN	Moderate	NaN	NaN	NaN	Well	NaN	NaN	0.291666667	0.291666667	RESIDENCE	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	No	NaN	No	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Found	NaN	NaN	NaN	NaN	NaN	NaN	77 year old wandered away from nursing home and walked to old home address. [Likely missing after 8am. Then: [3 < t < 11; call it 7]

Last rows

	Incident #	Data Source	Country	State/Province/Region	Incident Type	Incident Date Time	Incident Year	Incident Month	Incident Day	Time	City	County	EcoRegion Domain	Population Density	Terrain	Subject Category	Subject Sub-Category	Subject Activity	Scenario	Group Type	# Lost	Age	Sex	Weight (Kg)	Height (Cm)	Physical Fitness	Mental Fitness	Experience	Clothing	Personality	Subject Status	Notify hours	Search hours	Total Time Lost	TTL Hours	IPP Type	IPP Classification	IPP Coord.	IPPAccuracy (remove)	Destination Coord. (remove)	Temp/H	Temp L	Wind (kph) (remove)	Weather	Snow (remove)	Rain (remove)	Light (remove)	Investigative Find (remove)	Inv Find Details (remove)	Suspended (remove)	Subject Found feature	Found Secondary (remove)	Mobility Responsiveness (remove)	Lost Strategy	Distance IPP (km)	Distance Destination (km) (remove)	Distance IPP (miles) (remove)	Track Offset (m)	Find Coord	Find Accuracy	Disperson Angle (remove)	Mission Close (remove)	Rescue Method	Resources Used	Total Air Hours	Total Personnel	Total Man Hours	Total Cost	Comments
3265	3267	PLI	US	VA	NaN	5/25/2004	2004.0	5.0	25.0	NaN	Chesapeake	VA	Temperate	NaN	NaN	Demential	PD	NaN	NaN	M	1.0	52.0	M	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Well	0.020833333	0.009722222	0.030555556	0.030555555	NaN	NaN	NaN	NaN	NaN	33.33333333	NaN	NaN	Clear	NaN	NaN	NaN	NaN	NaN	NaN	Road	NaN	NaN	NaN	1.676403	NaN	1.041667	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
3266	3268	PLI	US	VA	NaN	5/31/2004	2004.0	5.0	31.0	NaN	Chesapeake	VA	Temperate	NaN	NaN	Demential	PD	NaN	NaN	M	1.0	52.0	M	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Well	0.020833333	0.25	0.270833333	0.270833333	NaN	NaN	NaN	NaN	NaN	29.44444444	NaN	NaN	Clear	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	12.874777	NaN	8.000000	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
3267	3269	PLI	US	VA	NaN	6/10/2004	2004.0	6.0	10.0	NaN	Chesapeake	VA	Temperate	NaN	NaN	Demential	PD	NaN	NaN	M	1.0	52.0	M	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Well	0.020833333	0.003472222	0.024305556	0.024305555	NaN	NaN	NaN	NaN	NaN	32.77777778	NaN	NaN	Clear	NaN	NaN	NaN	NaN	NaN	NaN	Business/developed area	NaN	NaN	NaN	1.219202	NaN	0.757576	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
3268	3270	PLI	US	VA	NaN	6/11/2004	2004.0	6.0	11.0	NaN	Chesapeake	VA	Temperate	NaN	NaN	Demential	PD	NaN	NaN	M	1.0	52.0	M	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Well	0.020833333	0.006944444	0.027777778	0.027777777	NaN	NaN	NaN	NaN	NaN	25	NaN	NaN	Rain	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.000000	NaN	0.000000	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
3269	3271	PLI	US	VA	NaN	6/19/2004	2004.0	6.0	19.0	NaN	Chesapeake	VA	Temperate	NaN	NaN	Demential	PD	NaN	NaN	M	1.0	52.0	M	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Well	0.020833333	0.135416667	0.15625	0.15625	NaN	NaN	NaN	NaN	NaN	31.11111111	NaN	NaN	Rain	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	3.962408	NaN	2.462121	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
3270	3272	PLI	US	VA	NaN	7/16/2004	2004.0	7.0	16.0	NaN	Chesapeake	VA	Temperate	NaN	NaN	Demential	PD	NaN	NaN	M	1.0	52.0	M	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Well	0.020833333	0.000694444	0.021527778	0.021527777	NaN	NaN	NaN	NaN	NaN	31.66666667	NaN	NaN	Clear	NaN	NaN	NaN	NaN	NaN	NaN	Road	NaN	NaN	NaN	4.828041	NaN	3.000000	1.524019	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
3271	3273	US	US	VA	NaN	7/27/2004	2004.0	7.0	27.0	NaN	Norfolk	VA	Temperate	NaN	NaN	Demential	PD	NaN	NaN	M	1.0	52.0	M	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Well	0.020833333	0.013194444	0.034027778	0.034027777	NaN	NaN	NaN	NaN	NaN	31.66666667	NaN	NaN	Cloud	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.396241	NaN	0.246212	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
3272	3274	NZ	NZ	NaN	Search	2/14/2004	2004.0	2.0	14.0	NaN	Western Bay of Plenty	Bay of Plenty	Temperate	Wilderness	Water	Dementia	NaN	Walkaway	Lost	F	1.0	70.0	F	NaN	NaN	Poor	Moderate	Poor	Fair	NaN	Well	0.03125	0.104166667	0.135416667	0.135416667	NaN	NaN	953/774	NaN	NaN	24	NaN	0	Clear	NaN	No	NaN	NaN	NaN	NaN	Linear	NaN	Mobile	Travel Aid	0.500000	NaN	0.310000	500.000000	954/775	NaN	NaN	NaN	Assist/own power	NaN	1.0	2.0	14.00	2045.0	Lost party arrived in area with two others with the intention of walking up the \n\ntrack to the Kaite Falls. Due to the steepness of the track the other two in \n\nthe party returned to carpark. Lost party continues.\n\nLost party following track. Female losses balance and falls down bank dragging \n\nhusband with her. Not able to climb back up onto track due to steepness.\n\nLost party followed river for a short period. Realised that they were lost and \n\nremained in that position until located.\n\n\n\nSearch method: Tracks all check prior to the arrival of SAR squad by Police and \n\nlocals. Not located. Due to age and medical concerns of lost party urgent \n\nresponse required. Helicopter dispatched to scene. Lost party located in river \n\nbed. Nil injuries\n\n\n\nDebrief: Held after search. Nothing of interest. Area easily contained. Only \n\nconcern is that any tracks were destroyed by locals searching in the first \n\ninstant. This cannot be avoided and must expect that this will happen given \n\ncircumstances.
3273	3275	NZ	NZ	NaN	Search	6/2/2006	2006.0	6.0	2.0	NaN	Whakatane	Bay of Plenty	Temperate	Rural	Mountainous	Dementia	NaN	Walkaway	Lost	F	1.0	74.0	F	NaN	NaN	Poor	Moderate	Poor	Fair	NaN	DOA	3.875	0.854166667	4.729166667	4.729166667	NaN	NaN	NaN	NaN	NaN	4	NaN	NaN	Rain	NaN	Heavy	NaN	NaN	NaN	NaN	NaN	Medium	NaN	NaN	0.400000	NaN	0.248000	NaN	NaN	NaN	NaN	NaN	Carry out by foot	NaN	1.5	74.0	265.50	10925.0	Both of these people suffered from Altimers and had been getting lost and \n\nbreaking down in there car for the past week, They had fone on a familar road \n\nto Waihau Bay to get petrol and became lost on the way home and drove obnto a \n\nfarm where they got stuck there vehicle hs then run out of petrol and it \n\nappears that tyhe male has gone for help in the bad weather and come top grief \n\nwith the cold and wet and laid down under a log by the river and died fgrom the \n\ncold. The women has come to the same fate on the farm surcomming to the cold
3274	3276	NZ	NZ	NaN	Search	2/19/2006	2006.0	2.0	19.0	NaN	Wellington	Wellington	Temperate	Urban	Hilly	Dementia	NaN	Walkaway	Lost	M	1.0	75.0	M	NaN	NaN	Good	Moderate	Poor	Fair	NaN	Well	0.117361111	0.028472222	0.145833333	0.145833333	NaN	NaN	NaN	NaN	NaN	16	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Mobile	Wandered	3.000000	NaN	1.860000	NaN	NaN	NaN	NaN	NaN	Assist/own power~Vehicle evacuation	NaN	0.0	12.0	16.75	210.0	NaN

Overview

Variables

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Pie chart

Most occurring characters

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Most frequent character per block

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Most occurring characters

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Pie chart

Most occurring characters

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Most frequent character per category

Most occurring scripts

Most frequent character per script

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Most frequent character per block

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Most occurring characters

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Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters